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Comets
GP: 49 | W: 22 | L: 22 | OTL: 5 | P: 49
GF: 158 | GA: 177 | PP%: 26.09% | PK%: 73.39%
GM : Tyler Briem | Morale : 45 | Team Overall : 58
Next Games #756 vs Bears
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Game Center
Comets
22-22-5, 49pts
2
FINAL
3 Wolves
24-22-3, 51pts
Team Stats
W1StreakL1
13-9-2Home Record12-10-2
9-13-3Away Record12-12-1
5-3-2Last 10 Games9-1-0
3.22Goals Per Game3.10
3.61Goals Against Per Game3.33
26.09%Power Play Percentage28.72%
73.39%Penalty Kill Percentage69.13%
Comets
22-22-5, 49pts
7
FINAL
6 Heat
14-26-7, 35pts
Team Stats
W1StreakL1
13-9-2Home Record8-14-3
9-13-3Away Record6-12-4
5-3-2Last 10 Games2-6-2
3.22Goals Per Game2.55
3.61Goals Against Per Game3.64
26.09%Power Play Percentage25.44%
73.39%Penalty Kill Percentage63.51%
Comets
22-22-5, 49pts
2022-12-19
Bears
33-10-5, 71pts
Team Stats
W1StreakW2
13-9-2Home Record20-2-2
9-13-3Away Record13-8-3
5-3-2Last 10 Games6-2-2
3.22Goals Per Game2.67
3.61Goals Against Per Game1.69
26.09%Power Play Percentage31.03%
73.39%Penalty Kill Percentage88.24%
Wolf Pack
27-15-6, 60pts
2022-12-20
Comets
22-22-5, 49pts
Team Stats
W1StreakW1
14-7-3Home Record13-9-2
13-8-3Away Record9-13-3
6-2-2Last 10 Games5-3-2
3.29Goals Per Game3.22
3.04Goals Against Per Game3.61
19.05%Power Play Percentage26.09%
68.80%Penalty Kill Percentage73.39%
Comets
22-22-5, 49pts
2022-12-21
Checkers
19-22-7, 45pts
Team Stats
W1StreakOTL1
13-9-2Home Record8-12-4
9-13-3Away Record11-10-3
5-3-2Last 10 Games1-5-4
3.22Goals Per Game2.48
3.61Goals Against Per Game3.02
26.09%Power Play Percentage27.27%
73.39%Penalty Kill Percentage69.03%
Team Leaders
Louis DomingueWins
Louis Domingue
21
Louis DomingueSave Percentage
Louis Domingue
0.865

Team Stats
Goals For
158
3.22 GFG
Shots For
1334
27.22 Avg
Power Play Percentage
26.1%
36 GF
Offensive Zone Start
38.0%
Goals Against
177
3.61 GAA
Shots Against
1249
25.49 Avg
Penalty Kill Percentage
73.4%
33 GA
Defensive Zone Start
35.2%
Team Info

General ManagerTyler Briem
CoachKevin Dineen
DivisionDivision 2
ConferenceConference 1
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,216
Season Tickets1,500


Roster Info

Pro Team38
Farm Team20
Contract Limit58 / 100
Prospects160


Team History

This Season22-22-5 (49PTS)
History156-196-62 (0.377%)
Playoff Appearances0
Playoff Record (W-L)-
Stanley Cup0


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.
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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")
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
1Rasmus AsplundXXX99.0064419678686781733973636625616164686602531,454,000$
2Nicholas MerkleyX99.0076439979686276725670657425494966646602521,293,000$
3Ryan ReavesX100.0099788273845779554461596025788262626403621,200,000$
4Michael ChaputXX100.0077738273735756637860596755626261626203011,327,000$
5Henrik BorgstromXXX99.006642887574575667525759702551516058610251770,504$
6Michael Dal ColleXX100.0081769266766061625058606856595962396102621,061,000$
7Jakob Pelletier (R)XX100.007265906466575567806369636346466371610213988,582$
8Tim SchallerXX100.0081768963766467577052546951646559636003221,438,000$
9Hayden HodgsonXX100.0074806067805756615052666263464661635902611,038,000$
10Semyon Der-Arguchintsev (R)X100.006860896961545261785860605845456157580223794,536$
11Austin RueschhoffX100.008487735987596055504759665746465962580253823,866$
12Adam BrooksX100.0062419869665358584553576275495060475702622,343,000$
13Jack RathboneX99.006741937365646059254049642547475463590232925,000$
14Chase PriskieX98.007568846568616359255349624746465653590261750,000$
15Nick Perbix (R)X99.008177957279393559255152654846465850580241752,061$
16Andrew NielsenX100.008283756283413952254741663957575160580262762,000$
17Helge Grans (R)X100.008277956178525254254846654446465545580203893,037$
18Oskari Laaksonen (R)X100.007065826567646752254940573946465249570232944,740$
Scratches
1Michael SgarbossaX100.0069429979675558688767735825474767386303021,142,000$
2Hugh McGingX100.006861846361626359745658605544446120570242968,204$
3Cody McLeodX100.0064753961755963515043466544808252205603821,038,000$
4David CottonX100.007975886575586051644751634844445720550252795,669$
5Alexandre FortinXX100.007467916167515252504750644857575620550253922,000$
6Jack KopackaX100.007572826672535353504656625344445820550241823,307$
7Ryan JonesXX100.007878776378657049504746624444445520550262852,166$
8Jon MartinXX100.007879766679525350634946634444445420540272821,000$
9Kale HowarthXX100.007778746578383552654456635344445620530253881,000$
10Graham McPheeX100.007064856064464553504854595144445620530243896,442$
11Alex Beaucage (R)XX100.007571846771464650504947614544445420530213901,217$
12Matthew Robertson (R)X100.007977846377535546253739623744445120560213799,579$
13Tobias GeisserX100.008177906377545646253740633844445220560231899,878$
14Max GildonX100.007873917073505147253841623944445220560232812,260$
15Donovan Sebrango (R)X100.007671896371606544253439603744445020550212846,071$
16Peter DiLiberatore (R)X100.006968726568545551254741583944445220550222993,206$
17Chaz ReddekoppX100.008080816880373646253739633744445020540263913,000$
18Layton Ahac (R)X100.007670916170474847253939613744445020540212757,999$
TEAM AVERAGE99.81756884677355575646505263445050573958
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.
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
1Louis Domingue98.00614253826763626766633061615968630
2Hunter Jones (R)100.00464961814545454945454544444753500
Scratches
TEAM AVERAGE99.0054465782565454585654385353536157
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Kevin Dineen40405658494648CAN5431,250,000$


Filter Tips
PriorityTypeDescription
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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
# 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
1Rasmus AsplundComets (NJD)C/LW/RW49194261-154094501534412012.42%2397019.8161521261101012492146.15%914414011.2614000246
2Nicholas MerkleyComets (NJD)RW49292554-196087801926211715.10%24106521.7589172810800051052037.04%813717011.0124000471
3Jakob PelletierComets (NJD)C/LW49231033111356948154438014.94%1067113.7000000000001143.75%16285000.9811100121
4Michael Dal ColleComets (NJD)LW/RW46122032-182810595958153120.69%1478917.177101719850000243148.19%747513000.8101011211
5Henrik BorgstromComets (NJD)C/LW/RW4992029-411582789938539.09%1085317.431348530002700043.18%5352211000.6801010321
6Michael SgarbossaComets (NJD)C43141529-20004966107305613.08%1267615.73471115640004493060.23%5282415010.8600000211
7Chase PriskieComets (NJD)D4912324-138925124968425331.19%66134627.4811212117000086000.00%01042000.3600131003
8Michael ChaputComets (NJD)C/LW4991423-428101007178246011.54%1083116.97213689000001172.73%222610000.5513110222
9Tim SchallerComets (NJD)C/LW496162211281092587917547.59%566113.4900000000002053.02%2321111000.6700011000
10Ryan ReavesComets (NJD)RW49101020-328101095773355913.70%887517.864158890114431034.48%291410000.4601110203
11Jack RathboneComets (NJD)D4951318-56051805720228.77%55119124.31123687000185100.00%01330000.3000000112
12Hayden HodgsonComets (NJD)LW/RW4910515-612057334152024.39%124819.82000070000334050.00%1495100.6201000110
13Helge GransComets (NJD)D3921214-12292546523414185.88%4283321.37167576000071000.00%0421000.3400113000
14Austin RueschhoffComets (NJD)RW495914883251255050132910.00%766613.5900002000001044.44%9119000.4200320001
15Andrew NielsenComets (NJD)D4901111-10542090763315110.00%47107721.98022483000076000.00%0121000.2000112000
16Nick PerbixComets (NJD)D49369-9954436287310.71%1765613.40112122000144000.00%0517000.2700001000
17Oskari LaaksonenComets (NJD)D490442255483714460.00%1370214.34000123000123000.00%0311000.1100001000
18Adam BrooksComets (NJD)C39011-40010110030.00%01463.76000030000130042.86%2811000.1400000000
19Semyon Der-ArguchintsevComets (NJD)C49000000020000.00%0190.390000000000000.00%200000.0000000000
20Matthew RobertsonComets (NJD)D10000200220000.00%1585.870000000000000.00%010000.0000000000
21Hugh McGingComets (NJD)C10000000000000.00%010.140000000000000.00%000000.0000000000
Team Total or Average922157256413-10845315513381042133441177511.77%3761457615.8136589413910261122077921449.70%2334269263130.5751691210202122
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
1Louis DomingueComets (NJD)49212150.8653.362748431541141637210.56216490122
2Hunter JonesComets (NJD)71100.8225.28216001910763000.0000049000
Team Total or Average56222250.8613.502964431731248700210.562164949122


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
Adam BrooksComets (NJD)C265/6/1996No185 Lbs5 ft10NoNoNo2Pro & Farm2,343,000$1,161,976$0$0$No2,343,000$Link / NHL Link
Alex BeaucageComets (NJD)LW/RW217/25/2001Yes192 Lbs6 ft1NoNoNo3Pro & Farm901,217$446,945$0$0$No901,217$901,217$Link
Alexandre FortinComets (NJD)LW/RW252/25/1997No184 Lbs6 ft0NoNoNo3Pro & Farm922,000$457,252$0$0$No922,000$922,000$Link / NHL Link
Andrew NielsenComets (NJD)D2611/13/1996No224 Lbs6 ft4NoNoNo2Pro & Farm762,000$377,902$0$0$No762,000$Link
Austin RueschhoffComets (NJD)RW259/7/1997No230 Lbs6 ft5NoNoNo3Pro & Farm823,866$408,584$0$0$No823,866$823,866$Link
Chase PriskieComets (NJD)D263/18/1996No185 Lbs6 ft0NoNoNo1Pro & Farm750,000$371,951$0$0$NoLink
Chaz ReddekoppComets (NJD)D261/1/1997No219 Lbs6 ft3NoNoNo3Pro & Farm913,000$452,789$0$0$No913,000$913,000$Link / NHL Link
Cody McLeodComets (NJD)LW386/26/1984No204 Lbs6 ft2NoNoNo2Pro & Farm1,038,000$514,780$0$0$No1,038,000$Link / NHL Link
David CottonComets (NJD)C257/9/1997No201 Lbs6 ft2NoNoNo2Pro & Farm795,669$394,600$0$0$No795,669$Link
Donovan SebrangoComets (NJD)D211/12/2002Yes194 Lbs6 ft1NoNoNo2Pro & Farm846,071$419,596$0$0$No846,071$Link
Graham McPheeComets (NJD)LW247/24/1998No174 Lbs6 ft0NoNoNo3Pro & Farm896,442$444,577$0$0$No896,442$896,442$Link
Hayden HodgsonComets (NJD)LW/RW263/2/1996No205 Lbs6 ft2NoNoNo1Pro & Farm1,038,000$514,780$0$0$NoLink
Helge GransComets (NJD)D205/10/2002Yes205 Lbs6 ft3NoNoNo3Pro & Farm893,037$442,888$0$0$No893,037$893,037$Link
Henrik BorgstromComets (NJD)C/LW/RW258/6/1997No199 Lbs6 ft3NoNoNo1Pro & Farm770,504$382,120$0$0$NoLink
Hugh McGingComets (NJD)C247/11/1998No174 Lbs5 ft9NoNoNo2Pro & Farm968,204$480,166$0$0$No968,204$Link
Hunter JonesComets (NJD)G229/21/2000Yes194 Lbs6 ft4NoNoNo2Pro & Farm998,718$495,299$0$0$No998,718$Link
Jack KopackaComets (NJD)LW243/5/1998No191 Lbs6 ft2NoNoNo1Pro & Farm823,307$408,307$0$0$NoLink / NHL Link
Jack RathboneComets (NJD)D235/20/1999No177 Lbs5 ft10NoNoNo2Pro & Farm925,000$458,740$0$0$No925,000$Link
Jakob PelletierComets (NJD)C/LW213/7/2001Yes181 Lbs5 ft10NoNoNo3Pro & Farm988,582$490,272$0$0$No988,582$988,582$Link
Jon MartinComets (NJD)C/RW278/23/1995No215 Lbs6 ft2NoNoNo2Pro & Farm821,000$407,163$0$0$No821,000$Link
Kale HowarthComets (NJD)C/LW256/10/1997No201 Lbs6 ft5NoNoNo3Pro & Farm881,000$436,919$0$0$No881,000$881,000$Link
Layton AhacComets (NJD)D212/22/2001Yes187 Lbs6 ft2NoNoNo2Pro & Farm757,999$375,918$0$0$No757,999$Link
Louis DomingueComets (NJD)G303/6/1992No208 Lbs6 ft3NoNoNo2Pro & Farm1,018,000$504,862$0$0$No1,018,000$Link / NHL Link
Matthew RobertsonComets (NJD)D213/9/2001Yes201 Lbs6 ft4NoNoNo3Pro & Farm799,579$396,539$0$0$No799,579$799,579$Link
Max GildonComets (NJD)D235/17/1999No194 Lbs6 ft3NoNoNo2Pro & Farm812,260$402,828$0$0$No812,260$Link
Michael ChaputComets (NJD)C/LW304/9/1992No199 Lbs6 ft2NoNoNo1Pro & Farm1,327,000$658,106$0$0$NoLink / NHL Link
Michael Dal ColleComets (NJD)LW/RW266/20/1996No200 Lbs6 ft3NoNoNo2Pro & Farm1,061,000$526,187$0$0$No1,061,000$Link / NHL Link
Michael SgarbossaComets (NJD)C307/25/1992No182 Lbs6 ft0NoNoNo2Pro & Farm1,142,000$566,358$0$0$No1,142,000$Link
Nicholas MerkleyComets (NJD)RW255/23/1997No194 Lbs5 ft10NoNoNo2Pro & Farm1,293,000$641,244$0$0$No1,293,000$Link
Nick PerbixComets (NJD)D246/15/1998Yes201 Lbs6 ft4NoNoNo1Pro & Farm752,061$372,973$0$0$No
Oskari LaaksonenComets (NJD)D237/2/1999Yes172 Lbs6 ft1NoNoNo2Pro & Farm944,740$468,530$0$0$No944,740$Link
Peter DiLiberatoreComets (NJD)D223/31/2000Yes185 Lbs6 ft0NoNoNo2Pro & Farm993,206$492,566$0$0$No993,206$Link
Rasmus AsplundComets (NJD)C/LW/RW2512/3/1997No189 Lbs5 ft11NoNoNo3Pro & Farm1,454,000$721,089$0$0$No1,454,000$1,454,000$Link
Ryan JonesComets (NJD)LW/RW265/26/1996No214 Lbs6 ft2NoNoNo2Pro & Farm852,166$422,619$0$0$No852,166$Link
Ryan ReavesComets (NJD)RW361/20/1987No225 Lbs6 ft2NoNoNo2Pro & Farm1,200,000$595,122$0$0$No1,200,000$Link
Semyon Der-ArguchintsevComets (NJD)C229/15/2000Yes165 Lbs5 ft10NoNoNo3Pro & Farm794,536$394,038$0$0$No794,536$794,536$Link
Tim SchallerComets (NJD)C/LW3211/16/1990No205 Lbs6 ft2NoNoNo2Pro & Farm1,438,000$713,154$0$0$No1,438,000$Link
Tobias GeisserComets (NJD)D232/13/1999No201 Lbs6 ft4NoNoNo1Pro & Farm899,878$446,281$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3825.24196 Lbs6 ft22.11990,475$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Rasmus AsplundMichael Dal ColleNicholas Merkley40122
2Michael ChaputHenrik BorgstromRyan Reaves30122
3Nicholas MerkleyHenrik BorgstromHayden Hodgson20122
4Jakob PelletierTim SchallerAustin Rueschhoff10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Chase PriskieNick Perbix40122
2Andrew NielsenJack Rathbone30122
3Jack RathboneChase Priskie20122
4Chase PriskieJack Rathbone10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Rasmus AsplundMichael Dal ColleNicholas Merkley60122
2Michael ChaputHenrik BorgstromRyan Reaves40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Chase PriskieNick Perbix60122
2Andrew NielsenJack Rathbone40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Henrik BorgstromNicholas Merkley60122
2Rasmus AsplundRyan Reaves40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Chase PriskieNick Perbix60122
2Andrew NielsenJack Rathbone40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Rasmus Asplund60122Chase PriskieNick Perbix60122
2Nicholas Merkley40122Andrew NielsenJack Rathbone40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Henrik BorgstromNicholas Merkley60122
2Rasmus AsplundRyan Reaves40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Chase PriskieNick Perbix60122
2Andrew NielsenJack Rathbone40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Rasmus AsplundRyan ReavesNicholas MerkleyChase PriskieJack Rathbone
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Rasmus AsplundRyan ReavesNicholas MerkleyChase PriskieJack Rathbone
Extra Forwards
Normal PowerPlayPenalty Kill
Nicholas Merkley, Rasmus Asplund, Henrik BorgstromNicholas Merkley, Rasmus AsplundHenrik Borgstrom
Extra Defensemen
Normal PowerPlayPenalty Kill
Jack Rathbone, Chase Priskie, Andrew NielsenChase PriskieChase Priskie, Andrew Nielsen
Penalty Shots
Michael Chaput, Nicholas Merkley, Rasmus Asplund, Ryan Reaves, Henrik Borgstrom
Goalie
#1 : Louis Domingue, #2 : Hunter Jones


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
1Admirals10000010321000000000001000001032121.000347003865491026362520437312360243133.33%000.00%047087653.65%38481347.23%30661949.43%9404289275181099527
2Americans10001000101000000000001000100010121.0001120138654910163625204373173040000.00%000.00%047087653.65%38481347.23%30661949.43%9404289275181099527
3Barracuda514000001521-630300000716-92110000085320.200152338103865491013636252043731119386110919631.58%8187.50%047087653.65%38481347.23%30661949.43%9404289275181099527
4Bears11000000202110000002020000000000021.0002460138654910273625204373193828000.00%40100.00%047087653.65%38481347.23%30661949.43%9404289275181099527
5Canucks440000001697330000008351100000086281.0001621370138654910933625204373160183513219315.79%10370.00%047087653.65%38481347.23%30661949.43%9404289275181099527
6Condors312000001012-2211000008801010000024-220.3331018280038654910783625204373110227197711327.27%7442.86%047087653.65%38481347.23%30661949.43%9404289275181099527
7Eagles1000000134-1000000000001000000134-110.500347003865491026362520437318202011100.00%000.00%047087653.65%38481347.23%30661949.43%9404289275181099527
8Griffins1010000023-1000000000001010000023-100.000235003865491028362520437311898254125.00%4250.00%047087653.65%38481347.23%30661949.43%9404289275181099527
9Gulls1010000067-1000000000001010000067-100.0006915003865491035362520437313964254125.00%2150.00%047087653.65%38481347.23%30661949.43%9404289275181099527
10Heat210000018801000000112-11100000076130.7508152300386549105336252043731622014598225.00%6183.33%047087653.65%38481347.23%30661949.43%9404289275181099527
11IceHogs20200000310-70000000000020200000310-700.0003690038654910393625204373151819417114.29%7271.43%047087653.65%38481347.23%30661949.43%9404289275181099527
12Islanders210010001073110000005321000100054141.000101727003865491062362520437317115135212216.67%40100.00%047087653.65%38481347.23%30661949.43%9404289275181099527
13Monsters32000100853220000006241000010023-150.83381422003865491090362520437315117401014250.00%10280.00%047087653.65%38481347.23%30661949.43%9404289275181099527
14Moose1010000034-11010000034-10000000000000.0003690038654910263625204373128114294125.00%20100.00%047087653.65%38481347.23%30661949.43%9404289275181099527
15Reign20200000711-41010000045-11010000036-300.000710170038654910643625204373176342342400.00%9277.78%047087653.65%38481347.23%30661949.43%9404289275181099527
16Roadrunners21100000651110000005231010000013-220.5006111700386549104436252043731431236578225.00%8187.50%047087653.65%38481347.23%30661949.43%9404289275181099527
17Rocket321000001174220000008351010000034-140.6671116270038654910105362520437315923151159444.44%50100.00%047087653.65%38481347.23%30661949.43%9404289275181099527
18Senators301020001114-31000100054120101000610-440.6671118290038654910933625204373182281682200.00%8275.00%047087653.65%38481347.23%30661949.43%9404289275181099527
19Silver Knights2110000056-12110000056-10000000000020.500510150038654910553625204373135910553133.33%5420.00%047087653.65%38481347.23%30661949.43%9404289275181099527
20Stars2010000137-41000000123-11010000014-310.2503470038654910423625204373155101554100.00%5260.00%147087653.65%38481347.23%30661949.43%9404289275181099527
21Thunderbirds1010000026-41010000026-40000000000000.00024600386549102836252043731431736193133.33%30100.00%047087653.65%38481347.23%30661949.43%9404289275181099527
22Wild30300000718-111010000036-320200000412-800.0007121900386549108736252043731136437158400.00%13561.54%047087653.65%38481347.23%30661949.43%9404289275181099527
23Wolf Pack11000000615000000000001100000061521.0006101600386549103436252043731268625200.00%20100.00%047087653.65%38481347.23%30661949.43%9404289275181099527
24Wolves200011001010000000000000200011001010030.750101626003865491047362520437314694696466.67%2150.00%047087653.65%38481347.23%30661949.43%9404289275181099527
Total49162205213158177-19241290100274731254130421184104-20490.5001582564141338654910133436252043731124937645713381383626.09%1243373.39%147087653.65%38481347.23%30661949.43%9404289275181099527
_Since Last GM Reset49162205213158177-19241290100274731254130421184104-20490.5001582564141338654910133436252043731124937645713381383626.09%1243373.39%147087653.65%38481347.23%30661949.43%9404289275181099527
_Vs Conference32121503200108120-12169601000504821639022005872-14320.500108173281113865491089236252043731806234300889902527.78%792568.35%047087653.65%38481347.23%30661949.43%9404289275181099527
_Vs Division1358032003056-26543010001521-6815022001535-20180.69230518100386549103183625204373138710918130231722.58%381073.68%147087653.65%38481347.23%30661949.43%9404289275181099527

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
4949W115825641413341249376457133813
All Games
GPWLOTWOTL SOWSOLGFGA
4916225213158177
Home Games
GPWLOTWOTL SOWSOLGFGA
2412910027473
Visitor Games
GPWLOTWOTL SOWSOLGFGA
25413421184104
Last 10 Games
WLOTWOTL SOWSOL
530101
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1383626.09%1243373.39%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
3625204373138654910
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
47087653.65%38481347.23%30661949.43%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
9404289275181099527


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 - 2022-10-176Comets3Senators2WXBoxScore
2 - 2022-10-1819Canucks2Comets4WBoxScore
3 - 2022-10-1933Comets1IceHogs6LBoxScore
5 - 2022-10-2153Barracuda8Comets3LBoxScore
6 - 2022-10-2267Comets8Canucks6WBoxScore
7 - 2022-10-2379Monsters1Comets3WBoxScore
9 - 2022-10-25100Comets6Gulls7LBoxScore
10 - 2022-10-26115Silver Knights1Comets2WBoxScore
11 - 2022-10-27129Comets2Condors4LBoxScore
13 - 2022-10-29146Barracuda3Comets1LBoxScore
14 - 2022-10-30161Condors6Comets4LBoxScore
15 - 2022-10-31175Comets2Wild3LBoxScore
17 - 2022-11-02194Wild6Comets3LBoxScore
18 - 2022-11-03208Comets2Monsters3LXBoxScore
19 - 2022-11-04222Comets3Rocket4LBoxScore
20 - 2022-11-05233Canucks0Comets1WBoxScore
21 - 2022-11-06252Comets2Barracuda4LBoxScore
22 - 2022-11-07272Rocket1Comets4WBoxScore
23 - 2022-11-08280Comets6Wolf Pack1WBoxScore
24 - 2022-11-09295Comets1Roadrunners3LBoxScore
26 - 2022-11-11308Thunderbirds6Comets2LBoxScore
27 - 2022-11-12325Roadrunners2Comets5WBoxScore
29 - 2022-11-14346Comets3Admirals2WXXBoxScore
30 - 2022-11-15357Comets3Reign6LBoxScore
31 - 2022-11-16369Senators4Comets5WXBoxScore
33 - 2022-11-18387Comets1Americans0WXBoxScore
34 - 2022-11-19397Comets6Barracuda1WBoxScore
35 - 2022-11-20408Moose4Comets3LBoxScore
36 - 2022-11-21432Bears0Comets2WBoxScore
37 - 2022-11-22445Comets2IceHogs4LBoxScore
38 - 2022-11-23463Barracuda5Comets3LBoxScore
40 - 2022-11-25483Monsters1Comets3WBoxScore
41 - 2022-11-26497Comets3Eagles4LXXBoxScore
42 - 2022-11-27513Comets2Griffins3LBoxScore
43 - 2022-11-28522Stars3Comets2LXXBoxScore
45 - 2022-11-30544Islanders3Comets5WBoxScore
46 - 2022-12-01553Comets8Wolves7WXBoxScore
47 - 2022-12-02573Comets2Wild9LBoxScore
49 - 2022-12-04585Reign5Comets4LBoxScore
50 - 2022-12-05602Comets1Stars4LBoxScore
51 - 2022-12-06616Rocket2Comets4WBoxScore
53 - 2022-12-08634Comets3Senators8LBoxScore
54 - 2022-12-09647Silver Knights5Comets3LBoxScore
56 - 2022-12-11667Condors2Comets4WBoxScore
57 - 2022-12-12679Comets5Islanders4WXBoxScore
58 - 2022-12-13699Heat2Comets1LXXBoxScore
60 - 2022-12-15717Canucks1Comets3WBoxScore
61 - 2022-12-16730Comets2Wolves3LXBoxScore
62 - 2022-12-17744Comets7Heat6WBoxScore
64 - 2022-12-19756Comets-Bears-
65 - 2022-12-20770Wolf Pack-Comets-
66 - 2022-12-21788Comets-Checkers-
67 - 2022-12-22802Wolf Pack-Comets-
68 - 2022-12-23814Comets-Monsters-
70 - 2022-12-25833Eagles-Comets-
71 - 2022-12-26848Comets-Senators-
72 - 2022-12-27862Senators-Comets-
74 - 2022-12-29884Comets-Condors-
75 - 2022-12-30897Admirals-Comets-
76 - 2022-12-31916Bruins-Comets-
78 - 2023-01-02930Comets-Canucks-
79 - 2023-01-03946Comets-Wolf Pack-
80 - 2023-01-04956Penguins-Comets-
81 - 2023-01-05968Comets-Crunch-
82 - 2023-01-06979Comets-Moose-
84 - 2023-01-08992Griffins-Comets-
85 - 2023-01-091017Wolves-Comets-
87 - 2023-01-111043Wild-Comets-
88 - 2023-01-121057Comets-Rocket-
89 - 2023-01-131072Comets-Gulls-
90 - 2023-01-141081Comets-Crunch-
91 - 2023-01-151087Bruins-Comets-
92 - 2023-01-161109Checkers-Comets-
94 - 2023-01-181131Comets-Silver Knights-
Trade Deadline --- Trades can’t be done after this day is simulated!
95 - 2023-01-191143IceHogs-Comets-
96 - 2023-01-201163Americans-Comets-
98 - 2023-01-221180Comets-Griffins-
99 - 2023-01-231197Wolves-Comets-
100 - 2023-01-241214Comets-Silver Knights-
101 - 2023-01-251226Gulls-Comets-
102 - 2023-01-261231Comets-Bruins-
103 - 2023-01-271252Comets-Bruins-
105 - 2023-01-291265IceHogs-Comets-
106 - 2023-01-301286Comets-Thunderbirds-
107 - 2023-01-311287Comets-Phantoms-
108 - 2023-02-011301Marlies-Comets-
110 - 2023-02-031320Comets-Penguins-
111 - 2023-02-041330Comets-Marlies-
112 - 2023-02-051343Gulls-Comets-
113 - 2023-02-061362Phantoms-Comets-
117 - 2023-02-101389Crunch-Comets-
122 - 2023-02-151419Crunch-Comets-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance34,49218,680
Attendance PCT71.86%77.83%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
22 2216 - 73.85% 92,344$2,216,256$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
2,527,306$ 3,763,806$ 3,756,418$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
30,600$ 1,897,200$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
2,031,568$ 61 40,763$ 2,486,543$




OverallHomeVisitor
Year GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Regular Season
202090234206973185220-354512220352184107-2345112003452101113-128418528547041026588819131425845957752191267069016191985728.79%1744772.99%5508118143.01%631147442.81%34085439.81%15065041685100422711147
2020902143012518226280-544592306304116150-3445122006214110130-208122635057646318894171518325577577641928640112017692056833.17%2276670.93%15648123852.34%635130548.66%532101952.21%14945271723102422411095
202190274306905234283-4945162202401119136-1745112104504115147-328023437460801041939491611339612634462102697109717542017436.82%2536873.12%4649119654.26%786150352.30%527105450.00%1510541174998621821088
202190154609875180293-113456270352278147-694591906353102146-44751802584382929676824136328245458483197465173016981785832.58%2018159.70%4609117152.01%660130250.69%48694651.37%14654921746101622601125
202249162205213158177-19241290100274731254130421184104-20491582564141338654910133436252043731124937645713381383626.09%1243373.39%147087653.65%38481347.23%30661949.43%9404289275181099527
Total Regular Season4091021960383316249831253-2702045510301517410471613-1422054793023161214512640-128369983152325061138165371393797140156626222809276916530344094817892029331.85%97929569.87%292884566250.94%3096639748.40%2191449248.78%6918249478334549100554985