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Comets
GP: 80 | W: 36 | L: 36 | OTL: 8 | P: 80
GF: 325 | GA: 332 | PP%: 18.86% | PK%: 80.86%
GM : Matthieu Gauvin | Morale : 30 | Team Overall : 66
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Game Center
Wranglers
39-30-11, 89pts
4
FINAL
9 Comets
36-36-8, 80pts
Team Stats
W1StreakL1
19-16-5Home Record20-16-4
20-14-6Home Record16-20-4
5-3-2Last 10 Games6-3-1
3.90Goals Per Game4.06
4.00Goals Against Per Game4.15
20.74%Power Play Percentage18.86%
78.15%Penalty Kill Percentage80.86%
Wranglers
39-30-11, 89pts
3
FINAL
2 Comets
36-36-8, 80pts
Team Stats
W1StreakL1
19-16-5Home Record20-16-4
20-14-6Home Record16-20-4
5-3-2Last 10 Games6-3-1
3.90Goals Per Game4.06
4.00Goals Against Per Game4.15
20.74%Power Play Percentage18.86%
78.15%Penalty Kill Percentage80.86%
Team Leaders
Goals
Brett Seney
48
Assists
Joonas Donskoi
61
Points
Brett Seney
106
Plus/Minus
Reid Boucher
9
Wins
Juuse Saros
30
Save Percentage
Juuse Saros
0.879

Team Stats
Goals For
325
4.06 GFG
Shots For
2608
32.60 Avg
Power Play Percentage
18.9%
63 GF
Offensive Zone Start
38.7%
Goals Against
332
4.15 GAA
Shots Against
2608
32.60 Avg
Penalty Kill Percentage
80.9%%
31 GA
Defensive Zone Start
33.1%
Team Info

General ManagerMatthieu Gauvin
CoachLarry Robinson
DivisionMax-Sillig
ConferenceLouis-Magnus
CaptainIlya Lyubushkin
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,751
Season Tickets300


Roster Info

Pro Team25
Farm Team20
Contract Limit45 / 250
Prospects0


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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
1Valeri Nichushkin (R)X100.007635817285736872767679617459484950720231925,000$
2Joonas DonskoiX100.006425767370768074788073607167583544710261900,000$
3Brett Seney (R)X100.006035818163696476677079647050494629700222800,000$
4Conor Garland (R)X100.007550807680627770617674646249474840700222800,000$
5Reid BoucherX100.007029737178677265747581616454523639690251750,000$
6Jonny BrodzinskiX100.007036747763647670696774606651553750680251700,000$
7Mason Marchment (R)X100.006833836069637067676683556849484940660233600,000$
8Brett Howden (R)X100.005930867163816563727465666342436140660204700,000$
9Alexandre Texier (R)X100.005430757356696070626869587442427050640191500,000$
10Cristiano Digiacinto (R)X100.005636797057726755636956705544444250630222500,000$
11Nicolas Roy (R)X100.005342736863596068686460516044444629610213750,000$
12Eeli Tolvanen (R)X100.005523806262617260535577566941426639610191500,000$
13Ilya Lyubushkin (R) (C)X100.008447717877796370507561735656524642730241950,000$
14Christian Wolanin (R)X100.007433836963667570447678645555514940700231800,000$
15Jake Bean (R)X100.005934758059656778457565724646445940670204750,000$
16Wyatt Kalynuk (R)X100.005429787356517281416952744845486250640211500,000$
17Marcus Bjork (R)X100.006241706961727167395951695444466650630212500,000$
18Vincent Desharnais (R)X100.006942635965756351416157623647463825610221500,000$
19Filip Roos (R)X100.006238685458625767465558585441437730580192500,000$
Scratches
1Alan QuineX100.006029777766747478737373576660513326690251750,000$
2Tim Gettinger (R)X100.005730685467615762516164336742425319560201250,000$
3Darren DietzX100.007125728574787879577869766566503738730251950,000$
TEAM AVERAGE100.00643476716668696959696862615048503966
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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 SPAgeContractSalary
1Juuse Saros99.00627677656377766367786853484950690233850,000$
2Akira Schmid (R)100.00735257776551506356527440408125580182500,000$
Scratches
1Jordan Binnington100.00666875686774806966746753523320700261500,000$
TEAM AVERAGE99.6767657070656769656368704947543266
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Larry Robinson77935682998345Can762600,000$


Filter Tips
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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.
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7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
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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
1Brett SeneyComets (N.J)C734858106-15180551462698016317.84%40156421.431014243426310151137347.53%22896228131.3600000747
2Joonas DonskoiComets (N.J)RW77356196-2018088872668718613.16%44154620.0811172847282000004151.32%1524826011.2425000437
3Valeri NichushkinComets (N.J)LW80404686-141401511062396115516.74%55176922.11615213429001131355350.32%1554930010.9706000542
4Darren DietzComets (N.J)D70185169-2049515210818360779.84%122182326.0591322352810001115200%07446100.7600100451
5Conor GarlandComets (N.J)RW80412768-17160149932397315317.15%31131116.391171831226000005041.82%554023011.0415000233
6Reid BoucherComets (N.J)C69233659914081751584610114.56%1594313.6735810851012402153.30%5463012001.2500000253
7Alan QuineComets (N.J)C62232851-188065831596712014.47%22112618.175510161720113843050.47%9574521100.9101000114
8Jonny BrodzinskiComets (N.J)RW80262551322091622116110712.32%2490211.28112216000032050.00%24358001.1300000224
9Ilya LyubushkinComets (N.J)D7053540-124351831359546405.26%94178025.4331114192760000110100%02944000.4500010024
10Alexandre TexierComets (N.J)RW80142337-24039621335111410.53%2382210.29000017000011135.48%312913000.9000000201
11Christian WolaninComets (N.J)D7743236-81001151038938354.49%84160620.86235112320111107000%02838000.4500000120
12Brett HowdenComets (N.J)C80152035-10003589131367711.45%3185410.6800001000042049.25%4001615010.8200000110
13Jake BeanComets (N.J)D8043034-133406211610359503.88%72154919.371457199011096000%02953000.4400000020
14Mason MarchmentComets (N.J)LW7582028-1880769267284911.94%20126116.8212362160002460046.77%621120000.4400000010
15Cristiano DigiacintoComets (N.J)LW807916560547949173414.29%3593311.670000210000640041.67%241022000.3400000011
16Wyatt KalynukComets (N.J)D8001515-8180301005225190%72120215.03011064000053000%01437000.2500000000
17Eeli TolvanenComets (N.J)LW769413-280465156163316.07%1977110.1500001000051057.89%191614000.3400000001
18Marcus BjorkComets (N.J)D80268-832064715124153.92%68106713.34000010000023000%0733000.1500000000
19Nicolas RoyComets (N.J)C36257-2002733419284.88%93429.53000020000150048.48%16585000.4100000000
20Vincent DesharnaisComets (N.J)D44033-5120433511850%304199.520000000007000%005000.1400000000
21Filip RoosComets (N.J)D440000007102110%52154.900000000001000%01100000000000
22Tim GettingerComets (N.J)LW4000-420444040%05413.600000000001000%20000000000000
Team Total or Average1497324534858-17933610161717402608893156612.42%9152386915.946398161252266224617102935948.99%4881581494370.72317110313638
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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
1Juuse SarosComets (N.J)64302170.8793.893502202271877954220.417125822111
2Akira SchmidComets (N.J)195910.8684.098800060455255100.50021438010
3Jordan BinningtonComets (N.J)91600.8615.0045600382741390000820000
Team Total or Average92363680.8754.034839203252606134832148080121


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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 Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall Type Current Salary Salary 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 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Akira SchmidComets (N.J)G182000-01-01Yes205 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Link
Alan QuineComets (N.J)C251993-01-01No200 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$3,731$0$0$No------------------
Alexandre TexierComets (N.J)RW191999-01-01Yes186 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Brett HowdenComets (N.J)C201998-01-01Yes194 Lbs6 ft2NoNoN/ANoNo4FalseFalsePro & Farm700,000$3,483$0$0$No700,000$700,000$700,000$------NoNoNo------
Brett SeneyComets (N.J)C221996-01-01Yes156 Lbs5 ft9NoNoN/ANoNo2FalseFalsePro & Farm800,000$3,980$0$0$No900,000$--------No--------
Christian WolaninComets (N.J)D231995-01-01Yes185 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm800,000$3,980$0$0$No------------------
Conor GarlandComets (N.J)RW221996-01-01Yes165 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm800,000$3,980$0$0$No900,000$--------No--------
Cristiano DigiacintoComets (N.J)LW221996-01-01Yes186 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------
Darren DietzComets (N.J)D251993-01-01No201 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm950,000$4,726$0$0$No------------------
Eeli TolvanenComets (N.J)LW191999-01-01Yes191 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Filip RoosComets (N.J)D191999-01-01Yes190 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Link
Ilya LyubushkinComets (N.J)D241994-01-01Yes201 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm950,000$4,726$0$0$No------------------
Jake BeanComets (N.J)D201998-01-01Yes187 Lbs6 ft1NoNoN/ANoNo4FalseFalsePro & Farm750,000$3,731$0$0$No750,000$750,000$750,000$------NoNoNo------
Jonny BrodzinskiComets (N.J)RW251993-01-01No185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm700,000$3,483$0$0$No------------------
Joonas DonskoiComets (N.J)RW261992-01-01No180 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm900,000$4,478$0$0$No------------------
Jordan BinningtonComets (N.J)G261992-01-01No173 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Juuse SarosComets (N.J)G231995-01-01No185 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm850,000$4,229$0$0$No850,000$850,000$-------NoNo-------
Marcus BjorkComets (N.J)D211997-01-01Yes203 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Link
Mason MarchmentComets (N.J)LW231995-01-01Yes209 Lbs6 ft4NoNoN/ANoNo3FalseFalsePro & Farm600,000$2,985$0$0$No600,000$600,000$-------NoNo-------
Nicolas RoyComets (N.J)C211997-01-01Yes200 Lbs6 ft4NoNoN/ANoNo3FalseFalsePro & Farm750,000$3,731$0$0$No750,000$750,000$-------NoNo-------
Reid BoucherComets (N.J)C251993-01-01No195 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm750,000$3,731$0$0$No------------------
Tim GettingerComets (N.J)LW201998-01-01Yes220 Lbs6 ft6NoNoN/ANoNo1FalseFalsePro & Farm250,000$1,244$0$0$No------------------
Valeri NichushkinComets (N.J)LW231995-01-01Yes185 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm925,000$4,602$0$0$No------------------
Vincent DesharnaisComets (N.J)D221996-01-01Yes227 Lbs6 ft7NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Wyatt KalynukComets (N.J)D211997-01-01Yes180 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2522.16192 Lbs6 ft11.72669,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Valeri NichushkinBrett SeneyJoonas Donskoi36023
2Mason MarchmentReid BoucherConor Garland28023
3Cristiano DigiacintoBrett HowdenJonny Brodzinski18023
4Eeli TolvanenNicolas RoyAlexandre Texier18023
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ilya LyubushkinChristian Wolanin35131
2Jake BeanWyatt Kalynuk30131
3Marcus BjorkVincent Desharnais25131
4Filip RoosIlya Lyubushkin10131
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Valeri NichushkinBrett SeneyJoonas Donskoi60005
2Mason MarchmentReid BoucherConor Garland40005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Ilya LyubushkinChristian Wolanin60023
2Jake BeanWyatt Kalynuk40023
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Brett SeneyValeri Nichushkin60131
2Reid BoucherMason Marchment40131
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Ilya LyubushkinChristian Wolanin60140
2Jake BeanWyatt Kalynuk40140
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Brett Seney60131Ilya LyubushkinChristian Wolanin60140
2Reid Boucher40131Jake BeanWyatt Kalynuk40140
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Brett SeneyValeri Nichushkin60023
2Reid BoucherMason Marchment40023
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ilya LyubushkinChristian Wolanin60032
2Jake BeanWyatt Kalynuk40032
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Valeri NichushkinBrett SeneyJoonas DonskoiIlya LyubushkinChristian Wolanin
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Valeri NichushkinBrett SeneyJoonas DonskoiIlya LyubushkinChristian Wolanin
Extra Forwards
Normal PowerPlayPenalty Kill
Reid Boucher, Jonny Brodzinski, Mason MarchmentReid Boucher, Jonny BrodzinskiReid Boucher
Extra Defensemen
Normal PowerPlayPenalty Kill
Marcus Bjork, Vincent Desharnais, Filip RoosMarcus BjorkMarcus Bjork, Vincent Desharnais
Penalty Shots
Valeri Nichushkin, Joonas Donskoi, Conor Garland, Brett Seney, Reid Boucher
Goalie
#1 : Juuse Saros, #2 : Akira Schmid
Custom OT Lines Forwards
Valeri Nichushkin, Joonas Donskoi, Conor Garland, Brett Seney, Reid Boucher, Jonny Brodzinski, Jonny Brodzinski, Mason Marchment, Brett Howden, Alexandre Texier, Cristiano Digiacinto
Custom OT Lines Defensemen
Ilya Lyubushkin, Christian Wolanin, Jake Bean, Wyatt Kalynuk, Marcus Bjork


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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
1Admirals312000001215-321100000101001010000025-320.33312193100102116102788905876814301102686913538.46%4175.00%0913187248.77%804160450.12%674136449.41%1749100116557241441739
2Americans20200000811-31010000057-21010000034-100.00081422001021161027769058768143072176355120.00%30100.00%0913187248.77%804160450.12%674136449.41%1749100116557241441739
3Barracuda2110000078-1110000005321010000025-320.5007111800102116102775905876814305624942800.00%2150.00%0913187248.77%804160450.12%674136449.41%1749100116557241441739
4Bears633000002327-43210000012102312000001117-660.50023376000102116102717790587681430198653810918316.67%19289.47%0913187248.77%804160450.12%674136449.41%1749100116557241441739
5Canucks3210000013112110000007522110000066040.667132033001021161027959058768143010735106715213.33%50100.00%0913187248.77%804160450.12%674136449.41%1749100116557241441739
6Checkers3110100012932100100011561010000014-340.667122032001021161027789058768143010152125910330.00%60100.00%0913187248.77%804160450.12%674136449.41%1749100116557241441739
7Condors20200000512-71010000025-31010000037-400.000571200102116102764905876814308030639700.00%30100.00%0913187248.77%804160450.12%674136449.41%1749100116557241441739
8Crunch412000011014-42010000179-22110000035-230.375101727001021161027114905876814301185110711500.00%5180.00%0913187248.77%804160450.12%674136449.41%1749100116557241441739
9Eagles42001001201461100000075231001001139470.875203151001021161027138905876814301225289812325.00%4175.00%0913187248.77%804160450.12%674136449.41%1749100116557241441739
10Griffins20200000812-41010000046-21010000046-200.000812200010211610276590587681430722610378225.00%5260.00%0913187248.77%804160450.12%674136449.41%1749100116557241441739
11Icehogs2020000059-41010000024-21010000035-200.00058130010211610276690587681430522112397114.29%60100.00%0913187248.77%804160450.12%674136449.41%1749100116557241441739
12Islander6320000125250311000011314-1321000001211170.58325426700102116102716390587681430213533611834411.76%18194.44%1913187248.77%804160450.12%674136449.41%1749100116557241441739
13Little Stars301010011012-22010100067-11000000145-130.5001016260010211610271059058768143010039125610110.00%6183.33%1913187248.77%804160450.12%674136449.41%1749100116557241441739
14Marlies312000001015-52110000089-11010000026-420.33310172700102116102711190587681430944312541317.69%5260.00%0913187248.77%804160450.12%674136449.41%1749100116557241441739
15Moose220000001165110000006331100000053241.00011193000102116102772905876814305423104412541.67%5340.00%0913187248.77%804160450.12%674136449.41%1749100116557241441739
16Penguins3110100014122211000009811000100054140.66714213510102116102711690587681430823686312325.00%4175.00%0913187248.77%804160450.12%674136449.41%1749100116557241441739
17Phantoms220000001293110000006511100000064241.000121830001021161027539058768143072322447228.57%10100.00%0913187248.77%804160450.12%674136449.41%1749100116557241441739
18Punishers421001001816211000000431311001001413150.6251828460010211610271409058768143012941147022627.27%6183.33%0913187248.77%804160450.12%674136449.41%1749100116557241441739
19Reign2020000057-21010000012-11010000045-100.0005101500102116102763905876814305812103913215.38%5260.00%0913187248.77%804160450.12%674136449.41%1749100116557241441739
20Rocket21100000990110000006331010000036-320.500915240010211610277590587681430802916299222.22%8187.50%0913187248.77%804160450.12%674136449.41%1749100116557241441739
21Senators220000001495110000009631100000053241.0001426400010211610276690587681430642444111218.18%2150.00%0913187248.77%804160450.12%674136449.41%1749100116557241441739
22Silver Knights842002003629742100100161424210010020155100.625366410000102116102727490587681430246764717039717.95%21480.95%0913187248.77%804160450.12%674136449.41%1749100116557241441739
23Thunderbirds40300001819-112010000136-320200000513-810.1258142200102116102712890587681430137471210615320.00%6266.67%0913187248.77%804160450.12%674136449.41%1749100116557241441739
24Wolfpack31200000141131010000034-121100000117420.333142337101021161027103905876814301022418541119.09%9366.67%0913187248.77%804160450.12%674136449.41%1749100116557241441739
25Wranglers31100010161152110000011741000001054140.6671625410010211610271039058768143089378658450.00%4175.00%0913187248.77%804160450.12%674136449.41%1749100116557241441739
Total80313604315325332-7401816021031731601340132002212152172-20800.500325534859201021161027260890587681430260891533816183346318.86%1623180.86%2913187248.77%804160450.12%674136449.41%1749100116557241441739
_Since Last GM Reset80313604315325332-7401816021031731601340132002212152172-20800.500325534859201021161027260890587681430260891533816183346318.86%1623180.86%2913187248.77%804160450.12%674136449.41%1749100116557241441739
_Vs Conference51201904305203199424108021039890827101102202105109-4560.549203333536201021161027163190587681430165557122510412133616.90%1091784.40%2913187248.77%804160450.12%674136449.41%1749100116557241441739
_Vs Division2010700201848131053001014138310540010043430230.5758414322700102116102761490587681430657194121397911415.38%58787.93%1913187248.77%804160450.12%674136449.41%1749100116557241441739

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8080L132553485926082608915338161820
All Games
GPWLOTWOTL SOWSOLGFGA
8031364315325332
Home Games
GPWLOTWOTL SOWSOLGFGA
4018162103173160
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4013202212152172
Last 10 Games
WLOTWOTL SOWSOL
531001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3346318.86%1623180.86%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
905876814301021161027
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
913187248.77%804160450.12%674136449.41%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
1749100116557241441739


Last Played Games
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DayGame Visitor Team Score Home Team Score ST OT SO RI Link
211Islander4Comets3LXXR1BoxScore
420Comets3Silver Knights5LBoxScore
631Silver Knights5Comets4LXR1BoxScore
1056Comets3Punishers5LBoxScore
1265Silver Knights5Comets4LR1BoxScore
1372Comets4Islander6LR1BoxScore
1688Bears3Comets6WBoxScore
1792Comets3Silver Knights4LXR1BoxScore
19105Comets6Eagles2WBoxScore
23122Admirals5Comets2LBoxScore
24128Comets3Bears6LR1BoxScore
27146Thunderbirds4Comets2LBoxScore
29158Comets4Eagles3WXBoxScore
32172Little Stars2Comets3WXBoxScore
36192Comets3Canucks5LBoxScore
38202Bears5Comets1LR1BoxScore
40216Comets1Checkers4LBoxScore
43224Canucks5Comets7WBoxScore
45236Comets4Little Stars5LXXBoxScore
47246Admirals5Comets8WBoxScore
49257Comets3Condors7LBoxScore
54276Barracuda3Comets5WBoxScore
57295Icehogs4Comets2LBoxScore
62316Rocket3Comets6WBoxScore
64333Comets4Griffins6LBoxScore
66342Little Stars5Comets3LBoxScore
68357Comets1Crunch4LBoxScore
71371Bears2Comets5WR1BoxScore
73383Comets6Phantoms4WBoxScore
76398Thunderbirds2Comets1LXXBoxScore
78409Comets4Bears9LR1BoxScore
82425Islander5Comets3LR1BoxScore
84436Comets2Crunch1WBoxScore
86448Griffins6Comets4LBoxScore
88460Comets5Senators3WBoxScore
91475Condors5Comets2LBoxScore
94487Comets5Penguins4WXBoxScore
96501Senators6Comets9WBoxScore
98516Comets5Wranglers4WXXBoxScore
100524Penguins6Comets4LBoxScore
103540Comets3Icehogs5LBoxScore
105553Comets3Rocket6LBoxScore
106559Moose3Comets6WBoxScore
110578Comets3Americans4LBoxScore
112584Americans7Comets5LBoxScore
115604Silver Knights2Comets3WR1BoxScore
117617Comets2Thunderbirds4LBoxScore
119622Comets6Silver Knights1WR1BoxScore
121637Marlies2Comets6WBoxScore
124656Comets8Punishers4WBoxScore
126664Phantoms5Comets6WBoxScore
128677Comets3Eagles4LXXBoxScore
130689Silver Knights2Comets5WR1BoxScore
132699Comets8Silver Knights5WBoxScore
134712Comets2Marlies6LBoxScore
135718Crunch3Comets2LBoxScore
138733Comets3Punishers4LXBoxScore
140743Checkers2Comets7WBoxScore
142758Comets2Admirals5LBoxScore
144769Eagles5Comets7WBoxScore
146783Comets4Wolfpack6LBoxScore
148794Comets2Barracuda5LBoxScore
149801Penguins2Comets5WBoxScore
153819Marlies7Comets2LBoxScore
157835Comets4Reign5LBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
159847Punishers3Comets4WBoxScore
161853Comets4Bears2WR1BoxScore
164871Islander5Comets7WR1BoxScore
166879Comets3Thunderbirds9LBoxScore
169894Comets5Moose3WBoxScore
171904Checkers3Comets4WXBoxScore
172912Comets4Islander3WR1BoxScore
175929Crunch6Comets5LXXBoxScore
176935Comets3Canucks1WBoxScore
178944Comets4Islander2WR1BoxScore
181958Wolfpack4Comets3LBoxScore
182969Comets7Wolfpack1WBoxScore
186988Reign2Comets1LBoxScore
1911011Wranglers4Comets9WBoxScore
1991036Wranglers3Comets2LBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price7040
Attendance73,27436,755
Attendance PCT91.59%91.89%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 2751 - 91.69% 173,234$6,929,348$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
2,233,112$ 1,672,500$ 1,632,500$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
8,321$ 1,625,282$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 1 11,306$ 11,306$




Comets Players Stat Leaders (Regular Season)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Comets Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Comets Career Team Stats

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

Comets Players Stat Leaders (Play-Off)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Comets Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA