BANGOR PUPPIES

GP: 51 | W: 24 | L: 22 | OTL: 5 | P: 53
GF: 167 | GA: 163 | PP%: 22.64% | PK%: 68.67%
GM : Clint T | Morale : 41 | Team Overall : 65
Next Games #575 vs BROOKLYN GRINDERS
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# 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)XX100.00613772968994958439848067597477057772254525,000$
2Nico Hischier (R)X100.00602270879089968264807967588067054751221775,000$
3Jason Dickinson (R) (A)XXX100.0045599858589858159807973558780054751252675,000$
4Joe ColborneX100.007576716182928082478083685692800237303011,324,000$
5Patrik Berglund (C)XX100.00309995982858777797774877899990547323211,178,812$
6Tyson Jost (R)XX100.0031684868789897460776969507272054711225750,000$
7Andrei Svechnikov (R)X100.00802555878679847349727461606968054702202750,000$
8Miikka SalomakiX100.00353575687874797241807576588384055702271800,000$
9Anthony Cirelli (R)X100.00463776848884887260727060557767055692231500,000$
10Miles Wood (R)X100.00815364848283786862646064567777056682253600,000$
11Ondrej Kase (R)XX100.00543271847977786640636755617368052652251850,000$
12Dylan Cozens (R)X100.00453278656867636658666659725884019621193750,000$
13Jakob Chychrun (R)X100.00541492848588777630747175448073054731221750,000$
14Rasmus Dahlin (R)X100.00601080848384887830796761506772054712202750,000$
15Ryan Suter (A)X100.00226996276647891508967736199960546903611,304,531$
16Brady SkjeiX100.00535360619072767239716065458083056662262700,000$
17Colby RobakX100.00595162608053745850584378488583052650301600,000$
18Conor Timmins (R)X100.00826458697566626640686169516264032652221750,000$
Scratches
1Justin BaileyXX100.00464489728076796742585262548775020622251600,000$
2Kristian Vesalainen (R)XX100.00561088657465645862596060586577020601211650,000$
3Joe Veleno (R)X100.00552080697064676650626450705862020602212650,000$
4David Gustafsson (R)X100.00412480756759686456556354556960046602202550,000$
5Benoit-Olivier Groulx (R)X100.00765075656758606358606152676257020592202600,000$
6Michal Spacek (R)XX100.00501871657657695444585455586770020572231450,000$
7Samuel Fagemo (R)X100.00161089636764626054605958606560020572203650,000$
8Alex Beaucage (R)X100.00321878656562656245595557555060020572193600,000$
9Jesse Ylönen (R)X100.0029393607063595542635757556066034572212600,000$
10Brandon MontourX79.99514481828288826640656261458182043682263500,000$
11Kyle Capobianco (R)X100.00585070697861645944544960446062020602233500,000$
12Jared McIsaac (R)X100.00553381636559575933595562446056020582212650,000$
13Alec Regula (R)X100.00452864686357705433544767436252020582212550,000$
TEAM AVERAGE99.3551307872787375694868646456737203965
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# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Michael Hutchinson98.0065727579706360616263649980053670
2Scott Wedgewood98.0063606574647073756167588470053672
Scratches
1Steve Mason100.0060717283726262666158619976019670
2Ian Scott (R)100.0062586070645752576059546063019592
TEAM AVERAGE99.006365687768636265616259867203665
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Greg Ireland75839174898961CAN5031,176,000$


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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
1Jason DickinsonBANGOR PUPPIES (BEA)C/LW/RW512633596003978167519915.57%28106920.971111222312610171012450.30%4956323001.1013000454
2Pavel BuchnevichBANGOR PUPPIES (BEA)LW/RW41292453930091411615510118.01%1685220.8051015151130000248143.84%736921011.2412000753
3Nico HischierBANGOR PUPPIES (BEA)C51163248-31608567172481179.30%31101019.825914131261015532052.24%11623923000.9502000132
4Tyson JostBANGOR PUPPIES (BEA)C/LW48142539-2220605715836818.86%26101521.166713181420000381244.41%3043316000.7715000311
5Andrei SvechnikovBANGOR PUPPIES (BEA)RW511418321352011547108336312.96%1677115.132463420000132246.81%472310000.8300000223
6Rasmus DahlinBANGOR PUPPIES (BEA)D5132528446074697324314.11%54129625.4325711145000071000.00%21929100.4300000211
7Jakob ChychrunBANGOR PUPPIES (BEA)D514242872062859537274.21%66135026.4926891460002121100.00%02436000.4100000041
8Anthony CirelliBANGOR PUPPIES (BEA)C51111223-3215565386336512.79%762812.322244220001221149.20%3762214000.7300001012
9Conor TimminsBANGOR PUPPIES (BEA)D50317201312135162735814205.17%54103020.622354103000149000.00%01034000.3900133001
10Patrik BerglundBANGOR PUPPIES (BEA)C/RW5111920-120237092297111.96%1970713.8620234300051022160.00%1501310000.5712000002
11Miikka SalomakiBANGOR PUPPIES (BEA)RW511010208135253562163616.13%84949.70000010001271041.67%121215000.8100001200
12Ryan SuterBANGOR PUPPIES (BEA)D511161750010795724271.75%55100919.79022468000196000.00%02334000.3400000001
13Ondrej KaseBANGOR PUPPIES (BEA)LW/RW5138113181062283423318.82%1263712.500111310000222036.36%1177000.3500011001
14Brandon MontourBANGOR PUPPIES (BEA)D392688221039383114116.45%3377519.89000077000052000.00%0326000.2100110010
15Miles WoodBANGOR PUPPIES (BEA)LW5153814410109465816408.62%1263912.54011153000001050.00%1099000.2500002000
16Brady SkjeiBANGOR PUPPIES (BEA)D51145968205350218124.76%3879315.56011035000036100.00%0319000.1300112000
17David GustafssonBANGOR PUPPIES (BEA)C42145-10202626379342.70%64189.96000000001711035.85%53138000.2400000000
18Joe ColborneBANGOR PUPPIES (BEA)C161343551212257124.00%51428.91011010000300044.62%6500000.5600100000
19Dylan CozensBANGOR PUPPIES (BEA)C11033-420495110.00%512111.0400000000000051.06%4711000.4900000000
20Colby RobakBANGOR PUPPIES (BEA)D510335241049571712110.00%4768113.3700002011077000.00%0327000.0900011000
21Justin BaileyBANGOR PUPPIES (BEA)LW/RW101013006595111.11%1868.650000000000000.00%103000.2300000000
22Jesse YlönenBANGOR PUPPIES (BEA)RW21000-320589440.00%51688.0100000000040016.67%601000.0000000000
23Jared McIsaacBANGOR PUPPIES (BEA)D1000100100000.00%01414.920000000000000.00%000000.0000000000
Team Total or Average9421562794357251211011681033153549989510.16%5441571916.6939631021091284213241021251150.00%2814389366110.554144711212322
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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
# 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)2315610.9052.9413282065686363200.00002217311
2Michael HutchinsonBANGOR PUPPIES (BEA)2781440.8943.2115520083783423100.692132625100
3Steve MasonBANGOR PUPPIES (BEA)41200.8564.0019500139042000.000039000
Team Total or Average54242250.8973.143076201611559828300.692135151411


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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
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$213,669$40,000$15,540$55,000$21,367$No550,000$
Alex BeaucageBANGOR PUPPIES (BEA)RW196/1/2001 8:35:41 AMYes180 Lbs6 ft0NoNoNo3Pro & Farm600,000$233,094$40,000$15,540$60,000$23,309$No600,000$600,000$
Andrei SvechnikovBANGOR PUPPIES (BEA)RW203/26/2000 4:36:25 AMYes189 Lbs6 ft5NoNoNo2Pro & Farm750,000$291,367$40,000$15,540$75,000$29,137$No750,000$
Anthony CirelliBANGOR PUPPIES (BEA)C237/15/1997 6:03:52 AMYes197 Lbs6 ft2NoNoNo1Pro & Farm500,000$194,245$40,000$15,540$50,000$19,424$No
Benoit-Olivier GroulxBANGOR PUPPIES (BEA)C202/6/2000 7:34:37 AMYes196 Lbs6 ft2NoNoNo2Pro & Farm600,000$233,094$40,000$15,540$60,000$23,309$No600,000$
Brady SkjeiBANGOR PUPPIES (BEA)D263/26/1994 4:40:57 AMNo261 Lbs6 ft9NoNoNo2Pro & Farm700,000$271,942$40,000$15,540$70,000$27,194$No700,000$
Brandon MontourBANGOR PUPPIES (BEA)D264/11/1994 5:49:51 AMNo215 Lbs6 ft2NoNoNo3Pro & Farm500,000$194,245$40,000$15,540$50,000$19,424$No500,000$500,000$
Colby RobakBANGOR PUPPIES (BEA)D304/24/1990No226 Lbs6 ft3NoNoNo1Pro & Farm600,000$233,094$40,000$15,540$60,000$23,309$No
Conor TimminsBANGOR PUPPIES (BEA)D229/18/1998 1:07:43 AMYes208 Lbs6 ft3NoNoNo1Pro & Farm750,000$291,367$40,000$15,540$75,000$29,137$No
David GustafssonBANGOR PUPPIES (BEA)C204/11/2000 7:47:06 AMYes196 Lbs6 ft2NoNoNo2Pro & Farm550,000$213,669$40,000$15,540$55,000$21,367$No550,000$
Dylan CozensBANGOR PUPPIES (BEA)C192/9/2001 3:09:30 AMYes183 Lbs6 ft3NoNoNo3Pro & Farm750,000$291,367$40,000$15,540$75,000$29,137$No750,000$750,000$
Ian Scott BANGOR PUPPIES (BEA)G216/1/1999 9:26:08 AMYes206 Lbs6 ft1NoNoNo2Pro & Farm600,000$233,094$40,000$15,540$60,000$23,309$No600,000$
Jakob ChychrunBANGOR PUPPIES (BEA)D223/31/1998 1:31:39 PMYes214 Lbs6 ft2NoNoNo1Pro & Farm750,000$291,367$40,000$15,540$75,000$29,137$No
Jared McIsaacBANGOR PUPPIES (BEA)D216/1/1999 7:02:48 AMYes202 Lbs6 ft0NoNoNo2Pro & Farm650,000$252,518$40,000$15,540$65,000$25,252$No650,000$
Jason DickinsonBANGOR PUPPIES (BEA)C/LW/RW257/4/1995 2:04:09 AMYes199 Lbs6 ft6NoNoNo2Pro & Farm675,000$262,230$40,000$15,540$67,500$26,223$No675,000$
Jesse YlönenBANGOR PUPPIES (BEA)RW2110/3/1999 7:01:28 AMYes169 Lbs6 ft1NoNoNo2Pro & Farm600,000$233,094$40,000$15,540$60,000$23,309$No600,000$
Joe ColborneBANGOR PUPPIES (BEA)C301/30/1990No227 Lbs6 ft5NoNoNo1Pro & Farm1,324,000$514,360$40,000$15,540$132,400$51,436$No
Joe VelenoBANGOR PUPPIES (BEA)C211/13/2000 5:58:17 AMYes191 Lbs6 ft2NoNoNo2Pro & Farm650,000$252,518$40,000$15,540$65,000$25,252$No650,000$
Justin BaileyBANGOR PUPPIES (BEA)LW/RW257/1/1995 4:15:43 AMNo215 Lbs6 ft5NoNoNo1Pro & Farm600,000$233,094$40,000$15,540$60,000$23,309$No
Kristian VesalainenBANGOR PUPPIES (BEA)LW/RW216/1/1999 5:39:47 AMYes220 Lbs6 ft8NoNoNo1Pro & Farm650,000$252,518$40,000$15,540$65,000$25,252$No
Kyle CapobiancoBANGOR PUPPIES (BEA)D235/29/1997 5:45:59 AMYes213 Lbs6 ft3NoNoNo3Pro & Farm500,000$194,245$40,000$15,540$50,000$19,424$No500,000$500,000$
Michael HutchinsonBANGOR PUPPIES (BEA)G303/2/1990No206 Lbs6 ft3NoNoNo2Pro & Farm600,000$233,094$40,000$15,540$60,000$23,309$No600,000$NHL Link
Michal SpacekBANGOR PUPPIES (BEA)C/RW234/9/1997 7:37:12 AMYes201 Lbs6 ft2NoNoNo1Pro & Farm450,000$174,820$40,000$15,540$45,000$17,482$No
Miikka SalomakiBANGOR PUPPIES (BEA)RW273/9/1993 1:04:14 PMNo221 Lbs6 ft0NoNoNo1Pro & Farm800,000$310,791$40,000$15,540$80,000$31,079$No
Miles WoodBANGOR PUPPIES (BEA)LW259/13/1995 10:06:18 AMYes197 Lbs6 ft0NoNoNo3Pro & Farm600,000$233,094$40,000$15,540$60,000$23,309$No600,000$600,000$
Nico HischierBANGOR PUPPIES (BEA)C221/4/1999 4:44:30 AMYes190 Lbs6 ft4NoNoNo1Pro & Farm775,000$301,079$40,000$15,540$77,500$30,108$No
Ondrej KaseBANGOR PUPPIES (BEA)LW/RW2511/8/1995 7:23:23 AMYes183 Lbs6 ft2NoNoNo1Pro & Farm850,000$330,216$40,000$15,540$85,000$33,022$No
Patrik BerglundBANGOR PUPPIES (BEA)C/RW326/2/1988No229 Lbs6 ft4NoNoNo1Pro & Farm1,178,812$457,956$40,000$15,540$117,881$45,795$No
Pavel BuchnevichBANGOR PUPPIES (BEA)LW/RW256/22/1995 7:38:09 AMYes200 Lbs6 ft2NoNoNo4Pro & Farm525,000$203,957$40,000$15,540$52,500$20,396$No525,000$525,000$525,000$
Rasmus DahlinBANGOR PUPPIES (BEA)D204/13/2000 4:33:08 AMYes190 Lbs6 ft3NoNoNo2Pro & Farm750,000$291,367$40,000$15,540$75,000$29,137$No750,000$
Ryan SuterBANGOR PUPPIES (BEA)D361/21/1985No208 Lbs6 ft1NoNoNo1Pro & Farm1,304,531$506,796$130,453$50,680$No
Samuel FagemoBANGOR PUPPIES (BEA)RW203/14/2000 6:37:28 AMYes194 Lbs5 ft11NoNoNo3Pro & Farm650,000$252,518$40,000$15,540$65,000$25,252$No650,000$650,000$
Scott WedgewoodBANGOR PUPPIES (BEA)G288/14/1992 2:17:41 AMNo210 Lbs6 ft2NoNoNo2Pro & Farm600,000$233,094$40,000$15,540$60,000$23,309$No600,000$
Steve MasonBANGOR PUPPIES (BEA)G325/29/1988No224 Lbs6 ft4NoNoNo1Pro & Farm500,000$194,245$40,000$15,540$50,000$19,424$NoNHL Link
Tyson JostBANGOR PUPPIES (BEA)C/LW223/14/1998 7:20:31 AMYes196 Lbs5 ft11NoNoNo5Pro & Farm750,000$291,367$40,000$15,540$75,000$29,137$No750,000$750,000$750,000$750,000$
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3524.09205 Lbs6 ft31.91690,924$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jason DickinsonNico HischierPavel Buchnevich40122
2Tyson JostAnthony CirelliAndrei Svechnikov30122
3Miles WoodDylan CozensPatrik Berglund20122
4Ondrej KaseJoe ColborneMiikka Salomaki10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jakob ChychrunRasmus Dahlin40122
2Ryan SuterConor Timmins30122
3Brady SkjeiColby Robak20122
4Conor TimminsBrady Skjei10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Tyson JostNico HischierPavel Buchnevich55122
2Jason DickinsonAnthony CirelliAndrei Svechnikov45122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Jakob ChychrunRasmus Dahlin60122
2Conor TimminsBrady Skjei40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Patrik BerglundJason Dickinson50131
2Joe ColborneTyson Jost50131
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jakob ChychrunColby 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
2Dylan CozensNico Hischier40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jakob ChychrunConor Timmins60122
2Ryan SuterBrady Skjei40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Tyson JostNico HischierPavel BuchnevichJakob ChychrunRasmus Dahlin
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Jason DickinsonPatrik BerglundMiikka SalomakiJakob ChychrunRasmus Dahlin
Extra Forwards
Normal PowerPlayPenalty Kill
Jason Dickinson, Dylan Cozens, Pavel BuchnevichJoe Colborne, Ondrej KaseAndrei Svechnikov
Extra Defensemen
Normal PowerPlayPenalty Kill
Conor Timmins, Brady Skjei, Ryan SuterRyan SuterRasmus Dahlin, Brady Skjei
Penalty Shots
Patrik Berglund, Dylan Cozens, Ondrej Kase, Nico Hischier, Andrei Svechnikov
Goalie
#1 : Michael Hutchinson, #2 : Scott Wedgewood
Custom OT Lines Forwards
Nico Hischier, Pavel Buchnevich, Anthony Cirelli, Tyson Jost, Joe Colborne, Jason Dickinson, Jason Dickinson, Patrik Berglund, Andrei Svechnikov, Dylan Cozens, Miikka Salomaki
Custom OT Lines Defensemen
Jakob Chychrun, Rasmus Dahlin, Conor Timmins, Ryan Suter, Brady Skjei


Filter Tips
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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
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
1BROOKLYN GRINDERS30300000615-930300000615-90000000000000.000691500456653585531547473219044156610330.00%5260.00%0568106953.13%533100053.30%37775450.00%11606951033448888447
2CALGARY WRANGLERS30200100913-42010010068-21010000035-210.1679132200456653589531547473218623207016425.00%10280.00%0568106953.13%533100053.30%37775450.00%11606951033448888447
3CAPE BRETON LEPRECHAUNS31100100910-11010000034-12100010066030.500916250045665358253154747321982516441218.33%8362.50%0568106953.13%533100053.30%37775450.00%11606951033448888447
4CAPE FEAR WILDCATS1010000045-11010000045-10000000000000.00048120045665353753154747321351014165240.00%7442.86%0568106953.13%533100053.30%37775450.00%11606951033448888447
5CHICAGO UNDERTAKERS521001101712521000010422311001001310370.70017314800456653515053154747321160483089800.00%15566.67%0568106953.13%533100053.30%37775450.00%11606951033448888447
6COLORADO CUBS715000011521-630300000711-441200001810-230.2141527420045665352395315474732122177541555240.00%27870.37%0568106953.13%533100053.30%37775450.00%11606951033448888447
7COQUITLAM EXPRESS11000000523000000000001100000052321.000581300456653532531547473212774216233.33%2150.00%0568106953.13%533100053.30%37775450.00%11606951033448888447
8DETROIT STEELERS522010001720-32100100085331200000915-660.6001728450045665351365315474732116048379617317.65%16568.75%0568106953.13%533100053.30%37775450.00%11606951033448888447
9EDMONTON OILERS11000000633000000000001100000063321.00061016004566535285315474732130109179333.33%2150.00%0568106953.13%533100053.30%37775450.00%11606951033448888447
10HALIFAX HELL1000000167-11000000167-10000000000010.50069150045665353453154747321301021186233.33%8450.00%0568106953.13%533100053.30%37775450.00%11606951033448888447
11HAWAII PUNCH10001000211100010002110000000000021.00023500456653532531547473214316815400.00%40100.00%0568106953.13%533100053.30%37775450.00%11606951033448888447
12LAS CRUCES MESCALEROS11000000422000000000001100000042221.000471100456653535531547473213274245120.00%20100.00%0568106953.13%533100053.30%37775450.00%11606951033448888447
13MANHATTAN SWEDES1010000023-11010000023-10000000000000.000235004566535385315474732131100193133.33%000.00%0568106953.13%533100053.30%37775450.00%11606951033448888447
14NEWTON NIGHTHAWKS11000000312110000003120000000000021.0003580045665353053154747321265724300.00%10100.00%0568106953.13%533100053.30%37775450.00%11606951033448888447
15NORTH VAN ROCKERS20200000410-61010000025-31010000025-300.0004610004566535465315474732171163751300.00%11463.64%0568106953.13%533100053.30%37775450.00%11606951033448888447
16PENSACOLA BLACK BEARS3120000089-1211000006601010000023-120.3338152300456653510053154747321873222675120.00%11372.73%0568106953.13%533100053.30%37775450.00%11606951033448888447
17PHILADELPHIA PHANTOMS2110000045-1000000000002110000045-120.50046100045665356353154747321632312414125.00%6350.00%0568106953.13%533100053.30%37775450.00%11606951033448888447
18PINCHER CREEK WOLVERINES220000001064110000005231100000054141.0001017270045665356053154747321571416388225.00%8187.50%0568106953.13%533100053.30%37775450.00%11606951033448888447
19SAN JOSE AVACADOES43100000171162110000066022000000115660.7501731480045665351245315474732112740668421628.57%13469.23%1568106953.13%533100053.30%37775450.00%11606951033448888447
20SYRACUSE BABY BULLS22000000725110000003121100000041341.000712190045665355753154747321418843200.00%40100.00%0568106953.13%533100053.30%37775450.00%11606951033448888447
Total51212202312167163426813021117986-72513900201887711530.520167284451004566535156053154747321155949441710351593622.64%1665268.67%2568106953.13%533100053.30%37775450.00%11606951033448888447
21VANCOUVER THOUSANDAIRES220000001257110000006421100000061541.0001220320045665356353154747321442117377228.57%6266.67%1568106953.13%533100053.30%37775450.00%11606951033448888447
_Since Last GM Reset51212202312167163426813021117986-72513900201887711530.520167284451004566535156053154747321155949441710351593622.64%1665268.67%2568106953.13%533100053.30%37775450.00%11606951033448888447
_Vs Conference37112001311106126-2018411011104862-141979002015864-6300.40510618228800456653511145315474732111633763097631012120.79%1223968.03%1568106953.13%533100053.30%37775450.00%11606951033448888447
_Vs Division1128001002744-17716000001730-13412001001014-450.227274673004566535313531547473213461179022830516.67%351265.71%0568106953.13%533100053.30%37775450.00%11606951033448888447

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
5153L216728445115601559494417103500
All Games
GPWLOTWOTL SOWSOLGFGA
5121222312167163
Home Games
GPWLOTWOTL SOWSOLGFGA
2681321117986
Visitor Games
GPWLOTWOTL SOWSOLGFGA
2513902018877
Last 10 Games
WLOTWOTL SOWSOL
370000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1593622.64%1665268.67%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
531547473214566535
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
568106953.13%533100053.30%37775450.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
11606951033448888447


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 - 2020-09-082PENSACOLA BLACK BEARS5BANGOR PUPPIES3LBoxScore
4 - 2020-09-1124CALGARY WRANGLERS3BANGOR PUPPIES2LXBoxScore
5 - 2020-09-1226BANGOR PUPPIES7CHICAGO UNDERTAKERS2WBoxScore
6 - 2020-09-1333BANGOR PUPPIES3PHILADELPHIA PHANTOMS2WBoxScore
9 - 2020-09-1651BROOKLYN GRINDERS7BANGOR PUPPIES2LBoxScore
10 - 2020-09-1764COLORADO CUBS4BANGOR PUPPIES3LBoxScore
11 - 2020-09-1873BANGOR PUPPIES1COLORADO CUBS2LBoxScore
13 - 2020-09-2086COLORADO CUBS4BANGOR PUPPIES2LBoxScore
16 - 2020-09-2398BANGOR PUPPIES6SAN JOSE AVACADOES2WBoxScore
17 - 2020-09-24108BROOKLYN GRINDERS5BANGOR PUPPIES3LBoxScore
20 - 2020-09-27125BANGOR PUPPIES2CHICAGO UNDERTAKERS3LXBoxScore
21 - 2020-09-28136PINCHER CREEK WOLVERINES2BANGOR PUPPIES5WBoxScore
22 - 2020-09-29144BANGOR PUPPIES4CHICAGO UNDERTAKERS5LBoxScore
23 - 2020-09-30149BANGOR PUPPIES2COLORADO CUBS3LXXBoxScore
25 - 2020-10-02166NORTH VAN ROCKERS5BANGOR PUPPIES2LBoxScore
27 - 2020-10-04177BANGOR PUPPIES3CAPE BRETON LEPRECHAUNS4LXBoxScore
29 - 2020-10-06189CHICAGO UNDERTAKERS1BANGOR PUPPIES2WBoxScore
30 - 2020-10-07200VANCOUVER THOUSANDAIRES4BANGOR PUPPIES6WBoxScore
32 - 2020-10-09211BANGOR PUPPIES4LAS CRUCES MESCALEROS2WBoxScore
34 - 2020-10-11223SAN JOSE AVACADOES3BANGOR PUPPIES4WBoxScore
35 - 2020-10-12236BANGOR PUPPIES6EDMONTON OILERS3WBoxScore
36 - 2020-10-13242CAPE BRETON LEPRECHAUNS4BANGOR PUPPIES3LBoxScore
39 - 2020-10-16258BANGOR PUPPIES1DETROIT STEELERS5LBoxScore
41 - 2020-10-18265CHICAGO UNDERTAKERS1BANGOR PUPPIES2WXXBoxScore
42 - 2020-10-19279HALIFAX HELL7BANGOR PUPPIES6LXXBoxScore
44 - 2020-10-21286BANGOR PUPPIES6VANCOUVER THOUSANDAIRES1WBoxScore
46 - 2020-10-23298BANGOR PUPPIES5SAN JOSE AVACADOES3WBoxScore
47 - 2020-10-24309BANGOR PUPPIES1PHILADELPHIA PHANTOMS3LBoxScore
49 - 2020-10-26319PENSACOLA BLACK BEARS1BANGOR PUPPIES3WBoxScore
50 - 2020-10-27331SAN JOSE AVACADOES3BANGOR PUPPIES2LBoxScore
52 - 2020-10-29347BANGOR PUPPIES5DETROIT STEELERS3WBoxScore
53 - 2020-10-30353BANGOR PUPPIES2PENSACOLA BLACK BEARS3LBoxScore
54 - 2020-10-31364MANHATTAN SWEDES3BANGOR PUPPIES2LBoxScore
56 - 2020-11-02372BANGOR PUPPIES3CAPE BRETON LEPRECHAUNS2WBoxScore
58 - 2020-11-04384NEWTON NIGHTHAWKS1BANGOR PUPPIES3WBoxScore
60 - 2020-11-06398DETROIT STEELERS4BANGOR PUPPIES5WXBoxScore
61 - 2020-11-07406BANGOR PUPPIES3COLORADO CUBS2WBoxScore
64 - 2020-11-10423CAPE FEAR WILDCATS5BANGOR PUPPIES4LBoxScore
66 - 2020-11-12432BANGOR PUPPIES4SYRACUSE BABY BULLS1WBoxScore
67 - 2020-11-13443SYRACUSE BABY BULLS1BANGOR PUPPIES3WBoxScore
70 - 2020-11-16455BANGOR PUPPIES5PINCHER CREEK WOLVERINES4WBoxScore
71 - 2020-11-17465HAWAII PUNCH1BANGOR PUPPIES2WXBoxScore
72 - 2020-11-18468BANGOR PUPPIES2NORTH VAN ROCKERS5LBoxScore
74 - 2020-11-20486BANGOR PUPPIES2COLORADO CUBS3LBoxScore
76 - 2020-11-22496COLORADO CUBS3BANGOR PUPPIES2LBoxScore
78 - 2020-11-24509BROOKLYN GRINDERS3BANGOR PUPPIES1LBoxScore
79 - 2020-11-25516BANGOR PUPPIES5COQUITLAM EXPRESS2WBoxScore
81 - 2020-11-27531BANGOR PUPPIES3DETROIT STEELERS7LBoxScore
82 - 2020-11-28539DETROIT STEELERS1BANGOR PUPPIES3WBoxScore
83 - 2020-11-29550CALGARY WRANGLERS5BANGOR PUPPIES4LBoxScore
85 - 2020-12-01562BANGOR PUPPIES3CALGARY WRANGLERS5LBoxScore
87 - 2020-12-03575BROOKLYN GRINDERS-BANGOR PUPPIES-
88 - 2020-12-04584BANGOR PUPPIES-HAWAII PUNCH-
90 - 2020-12-06594BANGOR PUPPIES-CHICAGO UNDERTAKERS-
91 - 2020-12-07605CALGARY WRANGLERS-BANGOR PUPPIES-
94 - 2020-12-10620PENSACOLA BLACK BEARS-BANGOR PUPPIES-
95 - 2020-12-11627BANGOR PUPPIES-PENSACOLA BLACK BEARS-
96 - 2020-12-12636BANGOR PUPPIES-CALGARY WRANGLERS-
97 - 2020-12-13646EDMONTON OILERS-BANGOR PUPPIES-
99 - 2020-12-15659BANGOR PUPPIES-CAPE BRETON LEPRECHAUNS-
100 - 2020-12-16670COQUITLAM EXPRESS-BANGOR PUPPIES-
102 - 2020-12-18682BANGOR PUPPIES-CAPE FEAR WILDCATS-
104 - 2020-12-20693PINCHER CREEK WOLVERINES-BANGOR PUPPIES-
106 - 2020-12-22708PENSACOLA BLACK BEARS-BANGOR PUPPIES-
107 - 2020-12-23714BANGOR PUPPIES-MANHATTAN SWEDES-
109 - 2020-12-25728CAPE BRETON LEPRECHAUNS-BANGOR PUPPIES-
111 - 2020-12-27737BANGOR PUPPIES-NEWTON NIGHTHAWKS-
112 - 2020-12-28749BANGOR PUPPIES-PHILADELPHIA PHANTOMS-
114 - 2020-12-30758LAS CRUCES MESCALEROS-BANGOR PUPPIES-
Trade Deadline --- Trades can’t be done after this day is simulated!
115 - 2020-12-31771BANGOR PUPPIES-PHILADELPHIA PHANTOMS-
117 - 2021-01-02781PINCHER CREEK WOLVERINES-BANGOR PUPPIES-
118 - 2021-01-03790BANGOR PUPPIES-BROOKLYN GRINDERS-
119 - 2021-01-04802COQUITLAM EXPRESS-BANGOR PUPPIES-
121 - 2021-01-06810BANGOR PUPPIES-HALIFAX HELL-
123 - 2021-01-08823LAS CRUCES MESCALEROS-BANGOR PUPPIES-
125 - 2021-01-10838NORTH VAN ROCKERS-BANGOR PUPPIES-
126 - 2021-01-11844BANGOR PUPPIES-NORTH VAN ROCKERS-
128 - 2021-01-13857BANGOR PUPPIES-BROOKLYN GRINDERS-
129 - 2021-01-14862BANGOR PUPPIES-NORTH VAN ROCKERS-
131 - 2021-01-16876NORTH VAN ROCKERS-BANGOR PUPPIES-
134 - 2021-01-19889PHILADELPHIA PHANTOMS-BANGOR PUPPIES-
135 - 2021-01-20900BANGOR PUPPIES-SAN JOSE AVACADOES-
136 - 2021-01-21909BANGOR PUPPIES-CAPE BRETON LEPRECHAUNS-
138 - 2021-01-23919PHILADELPHIA PHANTOMS-BANGOR PUPPIES-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance43,85625,607
Attendance PCT84.34%98.49%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
16 2672 - 89.06% 73,810$1,919,065$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
2,167,222$ 2,418,234$ 136,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
2,418,234$ 1,448,104$ 35 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
1,180,963$ 54 25,858$ 1,396,332$




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
951212202312167163426813021117986-7251390020188771153167284451004566535156053154747321155949441710351593622.64%1665268.67%2568106953.13%533100053.30%37775450.00%11606951033448888447
Total Regular Season51212202312167163426813021117986-7251390020188771153167284451004566535156053154747321155949441710351593622.64%1665268.67%2568106953.13%533100053.30%37775450.00%11606951033448888447
Playoff
8624000001317-43120000068-23120000079-24132033004630180487755019961891202727.41%22481.82%06613250.00%6514544.83%448253.66%128711295510252
Total Playoff624000001317-43120000068-23120000079-24132033004630180487755019961891202727.41%22481.82%06613250.00%6514544.83%448253.66%128711295510252