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Comets
GP: 80 | W: 45 | L: 30 | OTL: 5 | P: 95
GF: 321 | GA: 295 | PP%: 15.97% | PK%: 77.53%
GM : Matthieu Gauvin | Morale : 54 | Team Overall : 66

Game Center
Thunderbirds
36-37-7, 79pts
3
FINAL
6 Comets
45-30-5, 95pts
Team Stats
L1StreakL1
17-18-5Home Record25-11-4
19-19-2Home Record20-19-1
4-4-2Last 10 Games6-4-0
4.01Goals Per Game4.01
4.14Goals Against Per Game3.69
20.89%Power Play Percentage15.97%
75.30%Penalty Kill Percentage77.53%
Americans
39-32-9, 87pts
6
FINAL
4 Comets
45-30-5, 95pts
Team Stats
W3StreakL1
18-17-5Home Record25-11-4
21-15-4Home Record20-19-1
4-3-3Last 10 Games6-4-0
4.00Goals Per Game4.01
4.25Goals Against Per Game3.69
25.09%Power Play Percentage15.97%
79.01%Penalty Kill Percentage77.53%
Team Leaders
Goals
Brett Seney
49
Assists
Brett Seney
51
Points
Brett Seney
100
Plus/Minus
Alexandre Texier
17
Wins
Juuse Saros
31
Save Percentage
Juuse Saros
0.896

Team Stats
Goals For
321
4.01 GFG
Shots For
2751
34.39 Avg
Power Play Percentage
16.0%
46 GF
Offensive Zone Start
38.2%
Goals Against
295
3.69 GAA
Shots Against
2695
33.69 Avg
Penalty Kill Percentage
77.5%%
40 GA
Defensive Zone Start
34.8%
Team Info

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


Arena Info

Capacity3,000
Attendance2,859
Season Tickets300


Roster Info

Pro Team25
Farm Team20
Contract Limit45 / 250
Prospects0


Filter Tips
PriorityTypeDescription
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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 NichushkinX100.007635827487757170787781637666524561730241950,000$
2Brett Seney (R)X100.006035828367736879677281667257544249720231900,000$
3Conor Garland (R)X100.007750827882657973647577676354494474720231900,000$
4Joonas DonskoiX100.006625777268747875778272637271613274710271900,000$
5Mason MarchmentX100.007133846572687469706984597054514574690242600,000$
6Brett Howden (R)X100.006230877366836868737769706743455564690213700,000$
7Alexandre Texier (R)X100.005930797861736474677172637644446374680203700,000$
8Cristiano Digiacinto (R)X100.005836817360727059667159735847473827650231500,000$
9John HaydenX100.006443806865676769726965536349493639650241500,000$
10Eeli Tolvanen (R)X100.006023846765667664585880617142445974650204500,000$
11Nicolas Roy (R)X100.005842747165616270696663566146464252630222750,000$
12David Kase (R)X98.256533676662636863676469566746464061620222900,000$
13Ilya Lyubushkin (C)X100.008247737975786373537562755863554260730251950,000$
14Christian WolaninX100.007433857266697772487680685661544474720242900,000$
15Jake Bean (R)X100.006334778164707179497767745052465466700213750,000$
16Wyatt Kalynuk (R)X100.005929807761557683467155775148505640680223700,000$
17Marcus Bjork (R)X100.006441757464747270466456735846485958670221500,000$
18Vincent Desharnais (R)X100.006842676366766552426359673950493574630231500,000$
19Filip Roos (R)X100.006538716061656069515861635743456974610201500,000$
Scratches
1Alex Turcotte (R)X100.006146706262675961666664586840407449610182500,000$
2Nikita Nesterenko (R)X100.005234754973616256665976355740407321580182500,000$
3Graeme Clarke (R)X100.005042746552615755625853545540406720560182500,000$
4Jonathan Kovacevic (R)X100.006336655959675749396342643844463933580221500,000$
TEAM AVERAGE99.92643677706669686761696763615048505666
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 SPAgeContractSalary
1Juuse Saros100.00657877686676776771807159494483710242850,000$
2Akira Schmid100.00765761806958566761577742427283620191500,000$
Scratches
TEAM AVERAGE100.0071686974686767676669745146588367
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Larry Robinson77935682998345Can771600,000$


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
1Brett SeneyComets (N.J)C7149511002120541412887518717.01%49150521.2011920422240114926347.58%21276423231.33220001052
2Joonas DonskoiComets (N.J)RW80414889-10320126942658816315.47%44155919.5061420332480000218256.15%1304328011.1400000373
3Conor GarlandComets (N.J)RW803551864240138862978814911.78%44143417.936814342261012534442.11%766632001.2003000536
4Valeri NichushkinComets (N.J)LW702650762260121871985812113.13%39147521.0861218282221014804248.02%1774224101.0324000339
5Brett HowdenComets (N.J)C80234568-100591412285813910.09%32148718.604610222211123993048.20%13072742000.9100000224
6Alexandre TexierComets (N.J)RW802827551712068722446214011.48%17104013.01022121000084142.86%704822001.0600000620
7Ilya LyubushkinComets (N.J)D71123749-1841018213514251538.45%120188426.544610232430110116100%04455000.5200011325
8Mason MarchmentComets (N.J)LW80202848-3140107106142387114.08%33145718.224711112220003762154.05%741620000.6600000062
9Christian WolaninComets (N.J)D8083644-4809512513737565.84%119191223.91369212860003149100%03751000.4600000122
10John HaydenComets (N.J)C621323363235705384368315.48%1778612.691012170000250250.11%447164000.9200010102
11Nicolas RoyComets (N.J)C681618346603439111326914.41%146499.55000180001244250.00%3101511011.0500000310
12Jake BeanComets (N.J)D775293401806112111753534.27%61153019.88022151910002102000%02755100.4400000003
13Wyatt KalynukComets (N.J)D771293011260551048443501.19%88151519.680223192011099000%02644000.4000000100
14David KaseComets (N.J)RW8016102671207232103275015.53%166468.0800001000002268.42%191512000.8000000122
15Eeli TolvanenComets (N.J)LW8091019920625082234110.98%2199812.49000090000282039.22%51922000.3800000002
16Marcus BjorkComets (N.J)D7621315108039756514313.08%74114315.04000341000057100%01528000.2600000000
17Cristiano DigiacintoComets (N.J)LW266814620242944131913.64%834813.421011260000390050.00%1663000.8000000100
18Vincent DesharnaisComets (N.J)D80013131340077664424140%66109013.6300008000022000%0530000.2400000001
19Alex TurcotteComets (N.J)LW70371034037384115267.32%115217.4500000000110058.33%1243000.3800000000
20Nikita NesterenkoComets (N.J)C26617800719172635.29%426710.2800002000051044.36%13312000.5200000100
21Filip RoosComets (N.J)D80044101003822181050%245166.450000400008000%0112000.1600000000
22Jonathan KovacevicComets (N.J)D9011-520550110%1667.420000000001000%003000.3000000000
Team Total or Average15033195398588736515153116402751848152711.60%9022384015.8646741202402421347231113431948.25%4949527526450.7249021413543
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
1Juuse SarosComets (N.J)62312150.8963.483416401981901954330.62585426071
2Akira SchmidComets (N.J)2814900.8843.901417009279043811002654211
Team Total or Average90453050.8923.60483440290269113924488080282


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 Country 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 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap 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)G192000-01-01CHENo205 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Alex TurcotteComets (N.J)LW182001-01-01USAYes185 Lbs5 ft11NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Link
Alexandre TexierComets (N.J)RW201999-01-01FRAYes186 Lbs6 ft1NoNoFree AgentNoNo32024-08-21FalseFalsePro & Farm700,000$0$0$No800,000$900,000$-------700,000$700,000$-------NoNo-------
Brett HowdenComets (N.J)C211998-01-01CANYes194 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm700,000$0$0$No700,000$700,000$-------700,000$700,000$-------NoNo-------
Brett SeneyComets (N.J)C231996-01-01CANYes156 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------
Christian WolaninComets (N.J)D241995-01-01CANNo185 Lbs6 ft2NoNoFree AgentNoNo22024-09-17FalseFalsePro & Farm900,000$0$0$No950,000$--------900,000$--------No--------
Conor GarlandComets (N.J)RW231996-01-01USAYes165 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------
Cristiano DigiacintoComets (N.J)LW231996-01-01CANYes186 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
David KaseComets (N.J)RW221997-01-01CZEYes169 Lbs5 ft11NoNoFree AgentNoNo22024-10-06FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------
Eeli TolvanenComets (N.J)LW201999-01-01FINYes191 Lbs5 ft10NoNoFree AgentNoNo42024-08-21FalseFalsePro & Farm500,000$0$0$No600,000$700,000$900,000$------500,000$500,000$500,000$------NoNoNo------
Filip RoosComets (N.J)D201999-01-01SWEYes190 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Graeme ClarkeComets (N.J)RW182001-01-01USAYes174 Lbs6 ft0NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Link
Ilya LyubushkinComets (N.J)D251994-01-01RUSNo201 Lbs6 ft2NoNoFree AgentNoNo12024-08-21FalseFalsePro & Farm950,000$0$0$No---------------------------
Jake BeanComets (N.J)D211998-01-01CANYes187 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------
John HaydenComets (N.J)C241995-01-01USANo185 Lbs6 ft3NoNoFree AgentNoNo12024-10-17FalseFalsePro & Farm500,000$0$0$No---------------------------
Jonathan KovacevicComets (N.J)D221997-01-01CANYes208 Lbs6 ft4NoNoFree AgentNoNo12025-04-05FalseFalsePro & Farm500,000$0$0$No---------------------------
Joonas DonskoiComets (N.J)RW271992-01-01FINNo180 Lbs6 ft0NoNoFree AgentNoNo12024-08-21FalseFalsePro & Farm900,000$0$0$No---------------------------
Juuse SarosComets (N.J)G241995-01-01FINNo185 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm850,000$0$0$No850,000$--------850,000$--------No--------
Marcus BjorkComets (N.J)D221997-01-01SWEYes203 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Mason MarchmentComets (N.J)LW241995-01-01CANNo209 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm600,000$0$0$No600,000$--------600,000$--------No--------
Nicolas RoyComets (N.J)C221997-01-01CANYes200 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------
Nikita NesterenkoComets (N.J)C182001-01-01USAYes183 Lbs6 ft2NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Link
Valeri NichushkinComets (N.J)LW241995-01-01RUSNo185 Lbs6 ft4NoNoFree AgentNoNo12024-08-21FalseFalsePro & Farm950,000$0$0$No---------------------------
Vincent DesharnaisComets (N.J)D231996-01-01CANYes227 Lbs6 ft7NoNoFree AgentNoNo12024-08-21FalseFalsePro & Farm500,000$0$0$No---------------------------
Wyatt KalynukComets (N.J)D221997-01-01CANYes180 Lbs6 ft1NoNoFree AgentNoNo32024-08-21FalseFalsePro & Farm700,000$0$0$No800,000$900,000$-------700,000$700,000$-------NoNo-------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2521.96189 Lbs6 ft11.76678,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Valeri NichushkinBrett SeneyJoonas Donskoi40023
2Mason MarchmentBrett HowdenConor Garland30023
3Eeli TolvanenJohn HaydenAlexandre Texier20023
4Cristiano DigiacintoNicolas RoyDavid Kase10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ilya LyubushkinChristian Wolanin40032
2Jake BeanWyatt Kalynuk30032
3Marcus BjorkVincent Desharnais20032
4Filip RoosIlya Lyubushkin10032
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Valeri NichushkinBrett SeneyJoonas Donskoi60014
2Mason MarchmentBrett HowdenConor Garland40014
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Ilya LyubushkinChristian Wolanin60023
2Jake BeanWyatt Kalynuk40023
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Nicolas RoyCristiano Digiacinto60131
2Brett HowdenConor Garland40131
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Ilya LyubushkinChristian Wolanin60140
2Vincent DesharnaisMarcus Bjork40140
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Brett Seney60131Ilya LyubushkinChristian Wolanin60140
2Brett Howden40131Jake BeanWyatt Kalynuk40140
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Brett SeneyValeri Nichushkin60023
2Brett HowdenConor Garland40023
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
Alexandre Texier, Eeli Tolvanen, Cristiano DigiacintoAlexandre Texier, Eeli TolvanenMason Marchment
Extra Defensemen
Normal PowerPlayPenalty Kill
Marcus Bjork, Vincent Desharnais, Filip RoosMarcus BjorkVincent Desharnais, Filip Roos
Penalty Shots
Valeri Nichushkin, Conor Garland, Brett Seney, Joonas Donskoi, Mason Marchment
Goalie
#1 : Juuse Saros, #2 : Akira Schmid, #3 : 0
Custom OT Lines Forwards
Valeri Nichushkin, Conor Garland, Brett Seney, Joonas Donskoi, Mason Marchment, Brett Howden, Alexandre Texier, Cristiano Digiacinto, Eeli Tolvanen, John Hayden
Custom OT Lines Defensemen
Ilya Lyubushkin, Christian Wolanin, Jake Bean, Wyatt Kalynuk, Marcus Bjork


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
1Admirals521011002016431001100108221100000108270.700203353008410212710178868939916361605430892129.52%15286.67%0946187750.40%812170947.51%630132447.58%172198516977211423730
2Americans211000009811010000046-21100000052320.500913220084102127107386893991636772312339222.22%6350.00%0946187750.40%812170947.51%630132447.58%172198516977211423730
3Barracuda210001008711000010023-11100000064230.75081523008410212710768689399163660238473266.67%4250.00%0946187750.40%812170947.51%630132447.58%172198516977211423730
4Bears6320100031247320010001789312000001416-280.66731528300841021271021886893991636192695012322313.64%20480.00%0946187750.40%812170947.51%630132447.58%172198516977211423730
5Canucks532000001919031200000912-322000000107360.6001932510084102127101728689399163616051301031915.26%15473.33%1946187750.40%812170947.51%630132447.58%172198516977211423730
6Checkers311000101183110000005232010001066040.6671116270084102127108886893991636912816651119.09%8187.50%1946187750.40%812170947.51%630132447.58%172198516977211423730
7Condors302010001117-61000100065120200000512-720.333112031108410212710102868939916361053110421218.33%50100.00%0946187750.40%812170947.51%630132447.58%172198516977211423730
8Crunch3210000015141211000009901100000065140.66715243900841021271098868939916361082912485240.00%6266.67%0946187750.40%812170947.51%630132447.58%172198516977211423730
9Eagles330000001275220000009541100000032161.00012223400841021271098868939916361063166114214.29%30100.00%0946187750.40%812170947.51%630132447.58%172198516977211423730
10Firebirds6310100124195310010011284321000001211190.75024416500841021271019486893991636198563411421314.29%17288.24%0946187750.40%812170947.51%630132447.58%172198516977211423730
11Griffins311001001112-1211000008801000010034-130.5001122330084102127109486893991636118446508112.50%3166.67%0946187750.40%812170947.51%630132447.58%172198516977211423730
12Gulls2110000010100110000007521010000035-220.500101727108410212710718689399163678188457342.86%4175.00%0946187750.40%812170947.51%630132447.58%172198516977211423730
13Icehogs20200000610-41010000025-31010000045-100.000611170084102127105686893991636653325424125.00%10280.00%0946187750.40%812170947.51%630132447.58%172198516977211423730
14Islander623010002123-231101000972312000001216-460.50021325310841021271019886893991636193722011630620.00%11372.73%0946187750.40%812170947.51%630132447.58%172198516977211423730
15Little Stars3210000011110110000003212110000089-140.66711172800841021271011086893991636103566511317.69%30100.00%0946187750.40%812170947.51%630132447.58%172198516977211423730
16Marlies20100100911-21000010056-11010000045-110.25091726008410212710798689399163665194408225.00%20100.00%1946187750.40%812170947.51%630132447.58%172198516977211423730
17Moose22000000165111100000010281100000063341.000162945008410212710728689399163664194436116.67%20100.00%0946187750.40%812170947.51%630132447.58%172198516977211423730
18Penguins4120001012102110000005233020001078-140.5001219310084102127101478689399163613857168314214.29%8362.50%0946187750.40%812170947.51%630132447.58%172198516977211423730
19Phantoms20200000510-51010000035-21010000025-300.0005101510841021271074868939916366625648200.00%3166.67%0946187750.40%812170947.51%630132447.58%172198516977211423730
20Punishers320010001266110000004312100100083561.000121931008410212710998689399163610523186710220.00%9188.89%0946187750.40%812170947.51%630132447.58%172198516977211423730
21Rockets21100000550110000003121010000024-220.500591400841021271065868939916367127225700.00%10100.00%0946187750.40%812170947.51%630132447.58%172198516977211423730
22Senators21100000810-21010000015-41100000075220.500811190084102127106586893991636692310399222.22%5340.00%0946187750.40%812170947.51%630132447.58%172198516977211423730
23Thunderbirds440000002212102200000095422000000137681.0002236580084102127101598689399163612339146718422.22%70100.00%0946187750.40%812170947.51%630132447.58%172198516977211423730
24Wolfpack31200000911-2211000008711010000014-320.33391625008410212710908689399163610029145411218.18%7271.43%0946187750.40%812170947.51%630132447.58%172198516977211423730
25Wranglers20200000410-61010000034-11010000016-500.000461000841021271075868939916368023836400.00%4325.00%0946187750.40%812170947.51%630132447.58%172198516977211423730
Total8037300642132129526402011053011631333040171901120158162-4950.594321539860408410212710275186893991636269590236915312884615.97%1784077.53%3946187750.40%812170947.51%630132447.58%172198516977211423730
_Since Last GM Reset8037300642132129526402011053011631333040171901120158162-4950.594321539860408410212710275186893991636269590236915312884615.97%1784077.53%3946187750.40%812170947.51%630132447.58%172198516977211423730
_Vs Conference4927150402119916435241550300199702925121001020100946670.68419932652510841021271016718689399163616175402369521882915.43%1142280.70%2946187750.40%812170947.51%630132447.58%172198516977211423730
_Vs Division18860300176661094103001382315945000003843-5230.6397612520110841021271061086893991636583197104353731216.44%48981.25%0946187750.40%812170947.51%630132447.58%172198516977211423730

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8095L132153986027512695902369153140
All Games
GPWLOTWOTL SOWSOLGFGA
8037306421321295
Home Games
GPWLOTWOTL SOWSOLGFGA
4020115301163133
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4017191120158162
Last 10 Games
WLOTWOTL SOWSOL
540010
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2884615.97%1784077.53%3
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
868939916368410212710
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
946187750.40%812170947.51%630132447.58%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
172198516977211423730


Last Played Games
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DayGame Visitor Team Score Home Team Score ST OT SO RI Link
311Comets6Bears2WR1BoxScore
517Bears3Comets7WBoxScore
834Canucks4Comets2LBoxScore
1048Comets4Islander7LR1BoxScore
1258Islander2Comets3WXBoxScore
1783Wolfpack5Comets4LBoxScore
1991Comets1Penguins2LBoxScore
21107Admirals3Comets2LXBoxScore
24121Comets4Firebirds3WR1BoxScore
26133Firebirds3Comets7WBoxScore
30154Comets7Canucks6WBoxScore
31162Firebirds3Comets4WXR1BoxScore
36186Griffins6Comets4LBoxScore
39201Comets5Thunderbirds1WBoxScore
41209Marlies6Comets5LXBoxScore
45228Comets3Condors5LBoxScore
47235Little Stars2Comets3WBoxScore
49245Comets6Little Stars4WBoxScore
51262Gulls5Comets7WBoxScore
53269Comets2Phantoms5LBoxScore
55278Comets3Gulls5LBoxScore
57290Comets4Penguins3WXXBoxScore
59295Comets6Firebirds4WR1BoxScore
61306Islander3Comets5WR1BoxScore
63319Comets3Griffins4LXBoxScore
65327Crunch6Comets1LBoxScore
67344Comets5Americans2WBoxScore
69354Comets6Crunch5WBoxScore
70360Islander2Comets1LR1BoxScore
73379Griffins2Comets4WBoxScore
76390Comets3Islander2WR1BoxScore
78398Comets4Icehogs5LBoxScore
80409Rockets1Comets3WBoxScore
83429Wolfpack2Comets4WBoxScore
85439Comets1Wolfpack4LBoxScore
88455Checkers2Comets5WBoxScore
90463Comets2Admirals5LBoxScore
92470Comets3Eagles2WBoxScore
94485Icehogs5Comets2LBoxScore
97499Comets5Bears9LR1BoxScore
100512Penguins2Comets5WBoxScore
105532Comets5Punishers1WBoxScore
106540Bears3Comets4WXR1BoxScore
110563Punishers3Comets4WBoxScore
112575Comets2Firebirds4LR1BoxScore
114585Comets1Wranglers6LBoxScore
116591Bears2Comets6WR1BoxScore
118604Comets7Senators5WBoxScore
120617Barracuda3Comets2LXBoxScore
123629Comets3Punishers2WXBoxScore
126642Admirals3Comets5WBoxScore
129661Comets4Marlies5LBoxScore
131671Moose2Comets10WBoxScore
134689Crunch3Comets8WBoxScore
137712Admirals2Comets3WXBoxScore
139723Comets1Checkers2LBoxScore
142740Condors5Comets6WXBoxScore
144751Comets6Barracuda4WBoxScore
146764Firebirds2Comets1LXXR1BoxScore
148775Comets8Admirals3WBoxScore
150787Comets3Bears5LR1BoxScore
152796Eagles2Comets5WBoxScore
156817Senators5Comets1LBoxScore
159828Comets2Little Stars5LBoxScore
161841Phantoms5Comets3LBoxScore
163854Comets2Penguins3LBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
165865Comets8Thunderbirds6WBoxScore
167872Eagles3Comets4WBoxScore
171894Wranglers4Comets3LBoxScore
172895Comets2Rockets4LBoxScore
174909Comets5Islander7LR1BoxScore
176920Comets2Condors7LBoxScore
177928Canucks5Comets2LBoxScore
179940Comets3Canucks1WBoxScore
183960Canucks3Comets5WBoxScore
185970Comets6Moose3WBoxScore
188984Thunderbirds2Comets3WBoxScore
1921003Comets5Checkers4WXXBoxScore
1941013Thunderbirds3Comets6WBoxScore
2011040Americans6Comets4LBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price7040
Attendance76,78937,581
Attendance PCT95.99%93.95%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 2859 - 95.31% 180,560$7,222,397$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
2,238,672$ 1,695,000$ 1,695,000$ 600,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
8,391$ 1,610,882$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 11,361$ 0$




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