Comets

GP: 8 | W: 6 | L: 2 | OTL: 0 | P: 12
GF: 37 | GA: 29 | PP%: 17.31% | PK%: 87.50%
GM : Anthony Belanger | Morale : 56 | 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
1Miles WoodX97.007954728972659267366862802571720627002912,750,000$
2Luke EvangelistaX100.00634192816166947931747260255656056700222797,500$
3Sean KuralyXX99.009046817678658466776268822569720617003122,500,000$
4Sonny MilanoX100.00634193847062766825638264536464063700283750,000$
5Kiefer SherwoodX100.009977827271628867427068722562630606902922,255,000$
6Hendrix Lapierre (R)X98.00654197776559836860727064255050060680223863,333$
7Dominic ToninatoXX100.00824587767256706473725866256465064670302750,000$
8Tanner Pearson (A)X99.007355887976635672336259744173730586703223,250,000$
9Jiri Kulich (R)XX100.00716486736473756580576963664444057660203918,333$
10Zachary SanfordX100.007143927778577766536655672567690566503011,500,000$
11Anthony RichardX100.00716682636682866850616867655757056650271650,000$
12Ivan Miroshnichenko (R)X100.00894590786962716625655959254545060650203950,000$
13Ryan SuterX100.007544898076769963255347812596990627003933,100,001$
14Ryan LindgrenX100.008044867970788761255348862567690647002633,000,000$
15Carson SoucyX100.008145907479727665254948872568700586903033,250,000$
16Philip BrobergX100.00614299837657746425524776255556058660231863,333$
17Joel HanleyX100.00767480726963566325494774256364060640332787,500$
18Logan Mailloux (R)X100.00778266648270736025525365504444061620213875,000$
Scratches
1Corey PerryX100.007190767680658577256573616195990417003931,255,000$
2Brock McGinnX100.00804494766858676538585677757275049650303955,000$
3Aatu Raty (R)X100.00767091607080856480626265594545051640212836,667$
4Steven LorentzXXX100.008345917373527663585556712564650456302831,050,000$
5Ruslan IskhakovX100.00635387645381866379616258594444049620243855,000$
6Lucas CondottaXX100.00787681637679865164475163484444046570271650,000$
7Spencer StastneyX100.005740937565688162254950842546460486502431,255,000$
8Calle RosenX100.00766992706973785525514067386162044620302762,500$
9Steven SantiniX100.00807689657674814925404166395556037590291800,000$
10Robert HaggX100.00767677757659635025394167396565044590293775,000$
TEAM AVERAGE99.7575578774716779644258587038616205566
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
1Arturs Silovs (R)100.0056567083576253606059304444064590
2Jesper Wallstedt (R)100.0057526583595954615958304444062580
Scratches
TEAM AVERAGE100.005754688358615461605930444406359
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Brett McLean40404040404040CAN4021,000,000$


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
1Luke EvangelistaComets (Van)RW84913-12001824102416.67%213817.363251242000000133.33%1200001.8711000110
2Miles WoodComets (Van)LW828100201121236178.70%217221.551238410000321027.78%1800001.1601000020
3Hendrix LapierreComets (Van)C84610560720176823.53%215519.480222370000180039.71%20400001.2800000101
4Tanner PearsonComets (Van)LW827952020141741911.76%515419.360117370000180033.33%300001.1600000101
5Sean KuralyComets (Van)C/LW8358-16013282942310.34%316921.220227420002280061.29%24800000.9401000001
6Sonny MilanoComets (Van)RW825754049245148.33%013416.77022437000000116.67%1200001.0411000001
7Ryan LindgrenComets (Van)D8156-36018813687.69%718723.381341043000026000.00%000000.6400000001
8Carson SoucyComets (Van)D84261100198222618.18%916720.952021136000123000.00%000000.7200000110
9Joel HanleyComets (Van)D72462807560133.33%511015.810000100007000.00%000001.0800000000
10Dominic ToninatoComets (Van)C/LW814500021052320.00%0607.5501102000071055.17%5800001.6600000000
11Ryan SuterComets (Van)D8235-3401311142914.29%1018723.412131243000027000.00%000000.5300000000
12Kiefer SherwoodComets (Van)RW8314-26018111531620.00%210913.6800003000090166.67%1800000.7301000100
13Anthony RichardComets (Van)RW82130204141350.00%0516.4200002000002050.00%200001.1700000011
14Ivan MiroshnichenkoComets (Van)LW8033-2005312140.00%09511.9400000000000040.00%500000.6300000000
15Jiri KulichComets (Van)C/LW8213-200013141314.29%09712.1300000000010058.82%10200000.6211000000
16Philip BrobergComets (Van)D812310015126108.33%917121.41000735000028000.00%000000.3500000010
17Zachary SanfordComets (Van)RW8011000265160.00%0496.1600000000000066.67%300000.4100000000
18Logan MaillouxComets (Van)D710128019421050.00%410515.000000100001100.00%000000.1900000000
Team Total or Average142366710376601631952586117413.95%60231716.32916258040800032325351.68%68500000.8936000566
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
1Arturs SilovsComets (Van)86200.8733.6048400292280000.667680000
Team Total or Average86200.8733.6048400292280000.667680000


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 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
Aatu RatyComets (Van)C212002-11-14Yes185 Lbs6 ft2NoNoNo2Pro & Farm836,667$836,667$0$0$No836,667$Link
Anthony RichardComets (Van)RW271996-12-20No185 Lbs5 ft10NoNoNo1Pro & Farm650,000$650,000$0$0$NoLink
Arturs SilovsComets (Van)G232001-03-21Yes202 Lbs6 ft4NoNoNo2Pro & Farm786,111$786,111$0$0$No786,111$Link
Brock McGinnComets (Van)RW301994-02-01No189 Lbs6 ft0NoNoNo3Pro & Farm955,000$955,000$0$0$No955,000$955,000$Link / NHL Link
Calle RosenComets (Van)D301994-02-01No185 Lbs6 ft1NoNoNo2Pro & Farm762,500$762,500$0$0$No762,500$Link / NHL Link
Carson SoucyComets (Van)D301994-07-26No209 Lbs6 ft5NoNoNo3Pro & Farm3,250,000$3,250,000$0$0$No3,250,000$3,250,000$Link / NHL Link
Corey PerryComets (Van)RW391985-05-16No205 Lbs6 ft3NoNoNo3Pro & Farm1,255,000$1,255,000$0$0$No1,255,000$1,255,000$Link / NHL Link
Dominic ToninatoComets (Van)C/LW301994-03-09No191 Lbs6 ft2NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Link / NHL Link
Hendrix LapierreComets (Van)C222002-09-02Yes178 Lbs6 ft0NoNoNo3Pro & Farm863,333$863,333$0$0$No863,333$863,333$Link
Ivan MiroshnichenkoComets (Van)LW202004-02-04Yes185 Lbs6 ft1NoNoNo3Pro & Farm950,000$950,000$0$0$No950,000$950,000$Link
Jesper WallstedtComets (Van)G212002-11-14Yes213 Lbs6 ft3NoNoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$Link
Jiri KulichComets (Van)C/LW202004-04-14Yes178 Lbs5 ft11NoNoNo3Pro & Farm918,333$918,333$0$0$No918,333$918,333$Link
Joel HanleyComets (Van)D331991-06-08No189 Lbs5 ft11NoNoNo2Pro & Farm787,500$787,500$0$0$No787,500$Link / NHL Link
Kiefer SherwoodComets (Van)RW291995-03-31No194 Lbs6 ft0NoNoNo2Pro & Farm2,255,000$2,255,000$0$0$No2,255,000$Link / NHL Link
Logan MaillouxComets (Van)D212003-04-15Yes220 Lbs6 ft3NoNoNo3Pro & Farm875,000$875,000$0$0$No875,000$875,000$Link
Lucas CondottaComets (Van)C/LW271997-06-11No209 Lbs6 ft2NoNoNo1Pro & Farm650,000$650,000$0$0$NoLink
Luke EvangelistaComets (Van)RW222002-02-21No165 Lbs5 ft11NoNoNo2Pro & Farm797,500$797,500$0$0$No797,500$Link
Miles WoodComets (Van)LW291995-09-13No194 Lbs6 ft2NoNoNo1Pro & Farm2,750,000$2,750,000$0$0$NoLink
Philip BrobergComets (Van)D232001-06-25No200 Lbs6 ft3NoNoNo1Pro & Farm863,333$863,333$0$0$NoLink
Robert HaggComets (Van)D291995-02-08No205 Lbs6 ft2NoNoNo3Pro & Farm775,000$775,000$0$0$No775,000$775,000$Link / NHL Link
Ruslan IskhakovComets (Van)C242000-07-22No152 Lbs5 ft7NoNoNo3Pro & Farm855,000$855,000$0$0$No855,000$855,000$Link
Ryan LindgrenComets (Van)D261998-02-11No191 Lbs6 ft0NoNoNo3Pro & Farm3,000,000$3,000,000$0$0$No3,000,000$3,000,000$Link / NHL Link
Ryan SuterComets (Van)D391985-01-21No205 Lbs6 ft2NoNoNo3Pro & Farm3,100,001$3,100,001$0$0$No3,100,001$3,100,001$Link / NHL Link
Sean KuralyComets (Van)C/LW311993-01-20No213 Lbs6 ft2NoNoNo2Pro & Farm2,500,000$2,500,000$0$0$No2,500,000$Link / NHL Link
Sonny MilanoComets (Van)RW281996-05-12No194 Lbs6 ft0NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$750,000$Link / NHL Link
Spencer StastneyComets (Van)D242000-04-01No180 Lbs5 ft10NoNoNo3Pro & Farm1,255,000$1,255,000$0$0$No1,255,000$1,255,000$Link
Steven LorentzComets (Van)C/LW/RW281996-04-13No191 Lbs6 ft3NoNoNo3Pro & Farm1,050,000$1,050,000$0$0$No1,050,000$1,050,000$Link / NHL Link
Steven SantiniComets (Van)D291995-03-07No205 Lbs6 ft2NoNoNo1Pro & Farm800,000$800,000$0$0$NoLink
Tanner PearsonComets (Van)LW321992-08-10No207 Lbs6 ft1NoNoNo2Pro & Farm3,250,000$3,250,000$0$0$No3,250,000$Link / NHL Link
Zachary SanfordComets (Van)RW301994-09-11No207 Lbs6 ft4NoNoNo1Pro & Farm1,500,000$1,500,000$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3027.23194 Lbs6 ft12.301,357,176$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Miles WoodSean KuralyLuke Evangelista35122
2Tanner PearsonHendrix LapierreSonny Milano35122
3Ivan MiroshnichenkoJiri KulichKiefer Sherwood25122
4Anthony RichardDominic ToninatoZachary Sanford5122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ryan SuterRyan Lindgren35122
2Carson SoucyPhilip Broberg35122
3Joel HanleyLogan Mailloux25122
4Ryan SuterRyan Lindgren5122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Miles WoodSean KuralyLuke Evangelista60122
2Tanner PearsonHendrix LapierreSonny Milano40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Ryan SuterRyan Lindgren60122
2Carson SoucyPhilip Broberg40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Sean KuralyMiles Wood60122
2Hendrix LapierreTanner Pearson40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Ryan SuterRyan Lindgren60122
2Carson SoucyPhilip Broberg40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Sean Kuraly60122Ryan SuterRyan Lindgren60122
2Hendrix Lapierre40122Carson SoucyPhilip Broberg40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Sean KuralyMiles Wood60122
2Hendrix LapierreTanner Pearson40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ryan SuterRyan Lindgren60122
2Carson SoucyPhilip Broberg40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Miles WoodSean KuralyLuke EvangelistaRyan SuterRyan Lindgren
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Miles WoodSean KuralyLuke EvangelistaRyan SuterRyan Lindgren
Extra Forwards
Normal PowerPlayPenalty Kill
Kiefer Sherwood, Hendrix Lapierre, Dominic ToninatoKiefer Sherwood, Hendrix LapierreKiefer Sherwood
Extra Defensemen
Normal PowerPlayPenalty Kill
Philip Broberg, Joel Hanley, Logan MaillouxPhilip BrobergPhilip Broberg, Joel Hanley
Penalty Shots
Luke Evangelista, Sonny Milano, Sean Kuraly, Miles Wood, Kiefer Sherwood
Goalie
#1 : Arturs Silovs, #2 : Jesper Wallstedt


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
1Bulls 21100000981110000005231010000046-220.5009172600111312375777810184912123616318.75%6183.33%014527452.92%13326250.76%7614951.01%1931301816310956
2Lumberjacks 211000006601010000024-21100000042220.500612180011131236577781018561912431218.33%60100.00%014527452.92%13326250.76%7614951.01%1931301816310956
3Moose210000101192110000006511000001054141.0001120310011131236077781018571416431218.33%7185.71%014527452.92%13326250.76%7614951.01%1931301816310956
4Oildogs220000001165110000007431100000042241.00011182900111312358777810186616264312433.33%13284.62%014527452.92%13326250.76%7614951.01%1931301816310956
Total852000103729843100000201554210001017143120.750376710400111312325877781018228616616552917.31%32487.50%014527452.92%13326250.76%7614951.01%1931301816310956
_Since Last GM Reset852000103729843100000201554210001017143120.750376710400111312325877781018228616616552917.31%32487.50%014527452.92%13326250.76%7614951.01%1931301816310956
_Vs Conference852000103729843100000201554210001017143120.750376710400111312325877781018228616616552917.31%32487.50%014527452.92%13326250.76%7614951.01%1931301816310956
_Vs Division452000102014623100000126622100010880121.5002035550011131231337778101811528387928725.00%19384.21%014527452.92%13326250.76%7614951.01%1931301816310956

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
812W13767104258228616616500
All Games
GPWLOTWOTL SOWSOLGFGA
85200103729
Home Games
GPWLOTWOTL SOWSOLGFGA
43100002015
Visitor Games
GPWLOTWOTL SOWSOLGFGA
42100101714
Last 10 Games
WLOTWOTL SOWSOL
620000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
52917.31%32487.50%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
777810181113123
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
14527452.92%13326250.76%7614951.01%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
1931301816310956


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
2 - 2024-09-187Comets4Bulls 6LBoxScore
3 - 2024-09-1916Oildogs4Comets7WBoxScore
5 - 2024-09-2127Bulls 2Comets5WBoxScore
6 - 2024-09-2235Comets4Oildogs2WBoxScore
7 - 2024-09-2342Comets4Lumberjacks 2WBoxScore
9 - 2024-09-2553Moose5Comets6WBoxScore
12 - 2024-09-2866Lumberjacks 4Comets2LBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
15 - 2024-10-0176Comets5Moose4WXXBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3525
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
0 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 4,071,527$ 3,310,527$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 1 0$ 0$




OverallHomeVisitor
Year GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Playoff
20211165000003946-7523000001823-5642000002123-212396710610111314140113013412611404123110291551323.64%45784.44%019041046.34%17441841.63%7118538.38%2471662858914167
Total Playoff1165000003946-7523000001823-5642000002123-212396710610111314140113013412611404123110291551323.64%45784.44%019041046.34%17441841.63%7118538.38%2471662858914167