BANGOR PUPPIES
GP: 5 | W: 1 | L: 4
GF: 7 | GA: 17 | PP%: 0.00% | PK%: 82.61%
GM : Clint T | Morale : 6 | 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 SPAgeContractSalary
1Pavel Buchnevich (R)XX100.00613772968994958439848067597477061772254550,000$
2Nico Hischier (R)X100.00602270879089968264807967588067064751221775,000$
3Jason Dickinson (R) (A)XXX100.0045599858589858159807973558780063751252675,000$
4Joe ColborneX100.007576716182928082478083685692800187303111,324,000$
5Patrik Berglund (C)XX100.00309995982858777797774877899990637323211,178,812$
6Andrei Svechnikov (R)X100.00802555878679847349727461606968063712212750,000$
7Tyson Jost (R)XX100.0031684868789897460776969507272064711235750,000$
8Anthony Cirelli (R)X100.00463776848884887260727060557767064702236750,000$
9Miikka SalomakiX100.00353575687874797241807576588384065702281800,000$
10Miles Wood (R)X100.00815364848283786862646064567777063682253600,000$
11Ondrej Kase (R)XX100.00543271847977786640636755617368057652251850,000$
12Dylan Cozens (R)X100.00453278656867636658666659725884029621203750,000$
13Rasmus Dahlin (R)X100.00601080848384887830796761506772063712212750,000$
14Ryan Suter (A)X100.00226996276647891508967736199960636903611,304,531$
15Brandon MontourX100.00514481828288826640656261458182043682273500,000$
16Brady SkjeiX100.00535360619072767239716065458083065662272700,000$
17Conor Timmins (R)X100.00826458697566626640686169516264027652221750,000$
18Colby RobakX100.00595162608053745850584378488583029640311600,000$
Scratches
1Justin BaileyXX100.00464489728076796742585262548775020622251600,000$
2Kristian Vesalainen (R)XX100.00561088657465645862596060586577020601211650,000$
3David Gustafsson (R)X100.00412480756759686456556354556960034602212550,000$
4Benoit-Olivier Groulx (R)X100.00765075656758606358606152676257020592212600,000$
5Michal Spacek (R)XX100.00501871657657695444585455586770020572241450,000$
6Samuel Fagemo (R)X100.00161089636764626054605958606560020572213650,000$
7Alex Beaucage (R)X100.00321878656562656245595557555060020572193600,000$
8Jesse Ylönen (R)X100.0029393607063595542635757556066020572212600,000$
9Victor Söderström (R)X100.0023888676866656544685866485774071611203750,000$
10Kyle Capobianco (R)X100.00585070697861645944544960446062020602233500,000$
11Jared McIsaac (R)X100.00553381636559575933595562446056020582212650,000$
12Alec Regula (R)X100.00452864686357705433544767436252020582212550,000$
TEAM AVERAGE100.0050307772777375684968646455737204265
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 Hutchinson100.0065727579706360616263649980063670
2Scott Wedgewood100.0063606574647073756167588470063672
Scratches
1Steve Mason100.0060717283726262666158619976019670
2Ian Scott (R)100.0062586070645752576059546063019592
TEAM AVERAGE100.006365687768636265616259867204165
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Greg Ireland75839174898961CAN5031,176,000$


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
1Andrei SvechnikovBANGOR PUPPIES (BEA)RW5123-1607316786.25%18517.1100001000010060.00%510000.7000000100
2Pavel BuchnevichBANGOR PUPPIES (BEA)LW/RW5033-1804516490.00%08917.830000000000000.00%491000.6700000000
3Nico HischierBANGOR PUPPIES (BEA)C5112-1806920785.00%39018.1800000000001058.12%11732000.4400000001
4Tyson JostBANGOR PUPPIES (BEA)C/LW5202-30076208910.00%19318.74000010000190050.00%421000.4300000000
5Patrik BerglundBANGOR PUPPIES (BEA)C/RW5202-20069154513.33%27615.31000000001190075.00%2402000.5200000000
6Brandon MontourBANGOR PUPPIES (BEA)D5022220574240.00%711322.7900001000020000.00%013000.3500000000
7Miles WoodBANGOR PUPPIES (BEA)LW5022-2208111050.00%25511.18000000000000100.00%140000.7200000000
8Joe ColborneBANGOR PUPPIES (BEA)C2011-120427160.00%02311.5700000000000042.86%1400000.8600000000
9Ondrej KaseBANGOR PUPPIES (BEA)LW/RW51010002393411.11%0428.530000000000000.00%021000.4700000000
10Jason DickinsonBANGOR PUPPIES (BEA)C/LW/RW5011-30026134100.00%19919.81000000000190061.90%2132000.2000000000
11Miikka SalomakiBANGOR PUPPIES (BEA)RW5011000297330.00%15911.9300000000119000.00%102000.3400000000
12Rasmus DahlinBANGOR PUPPIES (BEA)D5000-120478520.00%711422.950000000005000.00%062000.0000000000
13Dylan CozensBANGOR PUPPIES (BEA)C5000-100112220.00%1489.6900000000000047.06%1711000.0000000000
14Victor SöderströmBANGOR PUPPIES (BEA)D3000100013000.00%04314.460000000000000.00%002000.0000000000
15Brady SkjeiBANGOR PUPPIES (BEA)D5000-620354000.00%57414.9000000000013000.00%005000.0000000000
16Colby RobakBANGOR PUPPIES (BEA)D2000-100240010.00%03919.620000000007000.00%000000.0000000000
17Anthony CirelliBANGOR PUPPIES (BEA)C5000-320448150.00%07014.1300001000000054.17%4811000.0000000000
18Ryan SuterBANGOR PUPPIES (BEA)D5000-4000132230.00%811022.1900000000018000.00%025000.0000000000
19Conor TimminsBANGOR PUPPIES (BEA)D5000-315510105200.00%1010020.0600000000013000.00%001000.0000010000
20David GustafssonBANGOR PUPPIES (BEA)C3000000320010.00%0248.1100000000000055.56%900000.0000000000
Team Total or Average9071320-304958010717055854.12%49145616.190000900021601056.60%2653531000.2700010101
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
1Scott WedgewoodBANGOR PUPPIES (BEA)51400.8943.19282201514276000.000050010
2Michael HutchinsonBANGOR PUPPIES (BEA)10000.8757.50160021610000.000005000
Team Total or Average61400.8923.41299201715886000.000055010


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 Type Current Salary Salary RemainingSalary AverageSalary Ave RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Link
Alec RegulaBANGOR PUPPIES (BEA)D216/1/1999 4:15:36 AMYes203 Lbs6 ft1NoNoNo2Pro & Farm550,000$40,000$55,000$0$No550,000$
Alex BeaucageBANGOR PUPPIES (BEA)RW196/1/2001 8:35:41 AMYes180 Lbs6 ft0NoNoNo3Pro & Farm600,000$40,000$60,000$0$No600,000$600,000$
Andrei SvechnikovBANGOR PUPPIES (BEA)RW213/26/2000 4:36:25 AMYes189 Lbs6 ft5NoNoNo2Pro & Farm750,000$40,000$75,000$0$No750,000$
Anthony CirelliBANGOR PUPPIES (BEA)C237/15/1997 6:03:52 AMYes197 Lbs6 ft2NoNoNo6Pro & Farm750,000$40,000$75,000$0$No750,000$750,000$750,000$750,000$750,000$
Benoit-Olivier GroulxBANGOR PUPPIES (BEA)C212/6/2000 7:34:37 AMYes196 Lbs6 ft2NoNoNo2Pro & Farm600,000$40,000$60,000$0$No600,000$
Brady SkjeiBANGOR PUPPIES (BEA)D273/26/1994 4:40:57 AMNo261 Lbs6 ft9NoNoNo2Pro & Farm700,000$40,000$70,000$0$No700,000$
Brandon MontourBANGOR PUPPIES (BEA)D274/11/1994 5:49:51 AMNo215 Lbs6 ft2NoNoNo3Pro & Farm500,000$40,000$50,000$0$No500,000$500,000$
Colby RobakBANGOR PUPPIES (BEA)D314/24/1990No226 Lbs6 ft3NoNoNo1Pro & Farm600,000$40,000$60,000$0$No
Conor TimminsBANGOR PUPPIES (BEA)D229/18/1998 1:07:43 AMYes208 Lbs6 ft3NoNoNo1Pro & Farm750,000$40,000$75,000$0$No
David GustafssonBANGOR PUPPIES (BEA)C214/11/2000 7:47:06 AMYes196 Lbs6 ft2NoNoNo2Pro & Farm550,000$40,000$55,000$0$No550,000$
Dylan CozensBANGOR PUPPIES (BEA)C202/9/2001 3:09:30 AMYes183 Lbs6 ft3NoNoNo3Pro & Farm750,000$40,000$75,000$0$No750,000$750,000$
Ian Scott BANGOR PUPPIES (BEA)G216/1/1999 9:26:08 AMYes206 Lbs6 ft1NoNoNo2Pro & Farm600,000$40,000$60,000$0$No600,000$
Jared McIsaacBANGOR PUPPIES (BEA)D216/1/1999 7:02:48 AMYes202 Lbs6 ft0NoNoNo2Pro & Farm650,000$40,000$65,000$0$No650,000$
Jason DickinsonBANGOR PUPPIES (BEA)C/LW/RW257/4/1995 2:04:09 AMYes199 Lbs6 ft6NoNoNo2Pro & Farm675,000$40,000$67,500$0$No675,000$
Jesse YlönenBANGOR PUPPIES (BEA)RW2110/3/1999 7:01:28 AMYes169 Lbs6 ft1NoNoNo2Pro & Farm600,000$40,000$60,000$0$No600,000$
Joe ColborneBANGOR PUPPIES (BEA)C311/30/1990No227 Lbs6 ft5NoNoNo1Pro & Farm1,324,000$40,000$132,400$0$No
Justin BaileyBANGOR PUPPIES (BEA)LW/RW257/1/1995 4:15:43 AMNo215 Lbs6 ft5NoNoNo1Pro & Farm600,000$40,000$60,000$0$No
Kristian VesalainenBANGOR PUPPIES (BEA)LW/RW216/1/1999 5:39:47 AMYes220 Lbs6 ft8NoNoNo1Pro & Farm650,000$40,000$65,000$0$No
Kyle CapobiancoBANGOR PUPPIES (BEA)D235/29/1997 5:45:59 AMYes213 Lbs6 ft3NoNoNo3Pro & Farm500,000$40,000$50,000$0$No500,000$500,000$
Michael HutchinsonBANGOR PUPPIES (BEA)G313/2/1990No206 Lbs6 ft3NoNoNo2Pro & Farm600,000$40,000$60,000$0$No600,000$NHL Link
Michal SpacekBANGOR PUPPIES (BEA)C/RW244/9/1997 7:37:12 AMYes201 Lbs6 ft2NoNoNo1Pro & Farm450,000$40,000$45,000$0$No
Miikka SalomakiBANGOR PUPPIES (BEA)RW283/9/1993 1:04:14 PMNo221 Lbs6 ft0NoNoNo1Pro & Farm800,000$40,000$80,000$0$No
Miles WoodBANGOR PUPPIES (BEA)LW259/13/1995 10:06:18 AMYes197 Lbs6 ft0NoNoNo3Pro & Farm600,000$40,000$60,000$0$No600,000$600,000$
Nico HischierBANGOR PUPPIES (BEA)C221/4/1999 4:44:30 AMYes190 Lbs6 ft4NoNoNo1Pro & Farm775,000$40,000$77,500$0$No
Ondrej KaseBANGOR PUPPIES (BEA)LW/RW2511/8/1995 7:23:23 AMYes183 Lbs6 ft2NoNoNo1Pro & Farm850,000$40,000$85,000$0$No
Patrik BerglundBANGOR PUPPIES (BEA)C/RW326/2/1988No229 Lbs6 ft4NoNoNo1Pro & Farm1,178,812$40,000$117,881$0$No
Pavel BuchnevichBANGOR PUPPIES (BEA)LW/RW256/22/1995 7:38:09 AMYes200 Lbs6 ft2NoNoNo4Pro & Farm550,000$40,000$55,000$0$No550,000$550,000$550,000$
Rasmus DahlinBANGOR PUPPIES (BEA)D214/13/2000 4:33:08 AMYes190 Lbs6 ft3NoNoNo2Pro & Farm750,000$40,000$75,000$0$No750,000$
Ryan SuterBANGOR PUPPIES (BEA)D361/21/1985No208 Lbs6 ft1NoNoNo1Pro & Farm1,304,531$130,453$0$No
Samuel FagemoBANGOR PUPPIES (BEA)RW213/14/2000 6:37:28 AMYes194 Lbs5 ft11NoNoNo3Pro & Farm650,000$40,000$65,000$0$No650,000$650,000$
Scott WedgewoodBANGOR PUPPIES (BEA)G288/14/1992 2:17:41 AMNo210 Lbs6 ft2NoNoNo2Pro & Farm600,000$40,000$60,000$0$No600,000$
Steve MasonBANGOR PUPPIES (BEA)G325/29/1988No224 Lbs6 ft4NoNoNo1Pro & Farm500,000$40,000$50,000$0$NoNHL Link
Tyson JostBANGOR PUPPIES (BEA)C/LW233/14/1998 7:20:31 AMYes196 Lbs5 ft11NoNoNo5Pro & Farm750,000$40,000$75,000$0$No750,000$750,000$750,000$750,000$
Victor SöderströmBANGOR PUPPIES (BEA)D202/26/2001 4:21:44 AMYes181 Lbs5 ft11NoNoNo3Pro & Farm750,000$40,000$75,000$0$No750,000$750,000$
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3424.53204 Lbs6 ft32.12700,216$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Pavel BuchnevichNico HischierJason Dickinson40122
2Tyson JostAnthony CirelliAndrei Svechnikov30122
3Miles WoodJoe ColbornePatrik Berglund20122
4Ondrej KaseDylan CozensMiikka Salomaki10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Rasmus DahlinRyan Suter40122
2Brandon MontourColby Robak30122
3Brady SkjeiConor Timmins20122
4Brandon MontourRyan Suter10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Pavel BuchnevichNico HischierJason Dickinson55113
2Tyson JostAnthony CirelliAndrei Svechnikov45122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Brandon MontourRasmus Dahlin60113
2Conor TimminsRyan Suter40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Patrik BerglundMiikka Salomaki50131
2Jason DickinsonTyson Jost50131
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Brandon MontourColby Robak50131
2Ryan SuterConor Timmins50131
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Patrik Berglund60122Brady SkjeiRasmus Dahlin60122
2Jason Dickinson40122Ryan SuterColby Robak40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Patrik BerglundJason Dickinson60122
2Anthony CirelliTyson Jost40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Brady SkjeiConor Timmins60122
2Ryan SuterColby Robak40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Tyson JostNico HischierPavel BuchnevichConor TimminsRasmus Dahlin
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Jason DickinsonPatrik BerglundMiikka SalomakiRyan SuterRasmus Dahlin
Extra Forwards
Normal PowerPlayPenalty Kill
Andrei Svechnikov, Dylan Cozens, Pavel BuchnevichAnthony Cirelli, Joe ColborneAndrei Svechnikov
Extra Defensemen
Normal PowerPlayPenalty Kill
Brandon Montour, Conor Timmins, Rasmus DahlinBrady SkjeiRasmus Dahlin, Brady Skjei
Penalty Shots
Patrik Berglund, Dylan Cozens, Ondrej Kase, Nico Hischier, Andrei Svechnikov
Goalie
#1 : Scott Wedgewood, #2 : Michael Hutchinson
Custom OT Lines Forwards
Nico Hischier, Pavel Buchnevich, Anthony Cirelli, Tyson Jost, Dylan Cozens, Jason Dickinson, Jason Dickinson, Patrik Berglund, Andrei Svechnikov, Joe Colborne, Miikka Salomaki
Custom OT Lines Defensemen
Rasmus Dahlin, Conor Timmins, Brandon Montour, Brady Skjei, Ryan Suter


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
1PHILADELPHIA PHANTOMS51400000717-1020200000210-83120000057-220.200713200013301705251670158495181100.00%23482.61%06110359.22%599860.20%306446.88%10867108438338
Total51400000717-1020200000210-83120000057-220.200713200013301705251670158495181100.00%23482.61%06110359.22%599860.20%306446.88%10867108438338
_Since Last GM Reset51400000717-1020200000210-83120000057-220.200713200013301705251670158495181100.00%23482.61%06110359.22%599860.20%306446.88%10867108438338
_Vs Conference51400000717-1020200000210-83120000057-220.200713200013301705251670158495181100.00%23482.61%06110359.22%599860.20%306446.88%10867108438338

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
52L47132017015849518100
All Games
GPWLOTWOTL SOWSOLGFGA
5140000717
Home Games
GPWLOTWOTL SOWSOLGFGA
2020000210
Visitor Games
GPWLOTWOTL SOWSOLGFGA
312000057
Last 10 Games
WLOTWOTL SOWSOL
140000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
100.00%23482.61%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
52516701330
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
6110359.22%599860.20%306446.88%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
10867108438338


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 - 2020-09-083BANGOR PUPPIES3PHILADELPHIA PHANTOMS1WBoxScore
3 - 2020-09-1011BANGOR PUPPIES1PHILADELPHIA PHANTOMS4LBoxScore
5 - 2020-09-1219PHILADELPHIA PHANTOMS4BANGOR PUPPIES1LBoxScore
7 - 2020-09-1427PHILADELPHIA PHANTOMS6BANGOR PUPPIES1LBoxScore
9 - 2020-09-1635BANGOR PUPPIES1PHILADELPHIA PHANTOMS2LBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance4,0002,000
Attendance PCT100.00%100.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
40 3000 - 100.00% 85,000$170,000$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 2,380,734$ 132,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 34 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
Regular Season
88431340934328928184215180322213713704216160612115214486228946475330691198818265982092388259262488555917612397531.38%2316571.86%6858175648.86%772163047.36%633130048.69%1850108917627421486737
98439350251227726314421917022111311256422018003011461388912774697461078106905254985789678721251483473117642485722.98%2887573.96%7884170851.76%883168052.56%603122049.43%1889111917077461469739
Total Regular Season168706901185556654422843435054332682626843634064222982821615356693314994014722517823520816771819166980513817191290352548713227.10%51914073.03%131742346450.29%1655331050.00%1236252049.05%373922093470148929551477
951400000717-1020200000210-83120000057-22713200013301705251670158495181100.00%23482.61%06110359.22%599860.20%306446.88%10867108438338
Total Playoff51400000717-1020200000210-83120000057-22713200013301705251670158495181100.00%23482.61%06110359.22%599860.20%306446.88%10867108438338