Please rotate your device to landscape mode for a better experience.
Login

Comets
GP: 71 | W: 36 | L: 26 | OTL: 9 | P: 81
GF: 151 | GA: 172 | PP%: 31.94% | PK%: 68.16%
GM : Tyler Briem | Morale : 53 | Team Overall : 58
Next Games #1101 vs Islanders

Game Center
Canucks
29-31-12, 70pts
3
1 Comets
36-26-9, 81pts
Team Stats
W3StreakW1
15-15-5Home Record17-14-4
14-16-7Home Record19-12-5
5-3-2Last 10 Games8-2-0
2.65Goals Per Game2.13
3.24Goals Against Per Game2.42
29.58%Power Play Percentage31.94%
64.81%Penalty Kill Percentage68.16%
Comets
36-26-9, 81pts
3
2 IceHogs
24-29-18, 66pts
Team Stats
W1StreakL2
17-14-4Home Record14-14-8
19-12-5Home Record10-15-10
8-2-0Last 10 Games2-5-3
2.13Goals Per Game1.94
2.42Goals Against Per Game2.66
31.94%Power Play Percentage30.15%
68.16%Penalty Kill Percentage69.81%
Islanders
35-23-13, 83pts
Day 89
Comets
36-26-9, 81pts
Team Stats
L4StreakW1
17-10-8Home Record17-14-4
18-13-5Away Record19-12-5
3-4-3Last 10 Games8-2-0
3.39Goals Per Game2.13
3.13Goals Against Per Game2.13
20.86%Power Play Percentage31.94%
76.73%Penalty Kill Percentage68.16%
Comets
36-26-9, 81pts
Day 90
Phantoms
32-29-9, 73pts
Team Stats
W1StreakL1
17-14-4Home Record15-16-4
19-12-5Away Record17-13-5
8-2-0Last 10 Games4-3-3
2.13Goals Per Game2.53
2.42Goals Against Per Game2.53
31.94%Power Play Percentage26.75%
68.16%Penalty Kill Percentage66.13%
Rocket
43-13-15, 101pts
Day 92
Comets
36-26-9, 81pts
Team Stats
W3StreakW1
24-5-6Home Record17-14-4
19-8-9Away Record19-12-5
6-0-4Last 10 Games8-2-0
2.37Goals Per Game2.13
1.89Goals Against Per Game2.13
32.17%Power Play Percentage31.94%
73.03%Penalty Kill Percentage68.16%
Team Leaders
Goals
Hugh McGing
21
Assists
Hugh McGing
28
Points
Hugh McGing
49
Plus/Minus
Donovan Sebrango
11
Philipp GrubauerWins
Philipp Grubauer
36
Philipp GrubauerSave Percentage
Philipp Grubauer
0.867

Team Stats
Goals For
151
2.13 GFG
Shots For
1107
15.59 Avg
Power Play Percentage
31.9%
46 GF
Offensive Zone Start
35.1%
Goals Against
172
2.42 GAA
Shots Against
1267
17.85 Avg
Penalty Kill Percentage
68.2%%
57 GA
Defensive Zone Start
38.2%
Team Info

General ManagerTyler Briem
CoachKevin Dineen
DivisionDivision 2
ConferenceConference 1
CaptainDavid Gustafsson
Assistant #1Jakob Pelletier
Assistant #2Matthew Robertson


Arena Info

Capacity3,000
Attendance2,134
Season Tickets1,500


Roster Info

Pro Team24
Farm Team18
Contract Limit42 / 100
Prospects164


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
1Clark BishopX100.0076728670728287637858656460515164806403011,000,000$
2Jakob Pelletier (A)X100.0075429477625986613871666525575766696402531,488,000$
3David Gustafsson (C)XXX100.0065569478745257646962606825626360286202621,333,000$
4Hugh McGingX100.0067627666627984615059625755474658816002721,100,000$
5Chris WilkieX99.0078709980703833595057576453464659675802911,000,000$
6Jayden GrubbeX100.0077767966787177516350476043474652785702331,268,000$
7Josh BloomX100.0077699982713531555062456242464655345602231,271,000$
8Fabian Wagner (R)X100.0072659165676873516445555851474654695602131,277,000$
9Dalton BancroftX100.0083779981783532485037576455464557675502511,000,000$
10Matthew MaggioX100.007267876769525350504748584846465360540232820,000$
11Trevor KuntarX100.0070736365756671486146455644464651565402431,093,000$
12Dylan CoghlanX100.0077768373776060612549576754595960686302832,500,000$
13Ethan SamsonX100.0078778367797784532540536249474656836202231,227,000$
14Matthew Robertson (R) (A)X100.0078807272827379532551446237474652756202531,402,000$
15Samuel Johannesson (R)X100.0074669767677783532549426139474653766102531,372,000$
16Donovan Sebrango (R)X100.0074815669836467542543526148474654826002431,356,000$
17Jack RathboneX100.0069667665667278532546475640474650705802621,232,000$
18Anton Johansson (R)X100.0078749464763734522550386137464651705502131,279,000$
19Ethan Edwards (R)X100.0070717363735050502547385737464648715502331,341,000$
Scratches
1Eetu LiukasX100.0078778165795050505045516248464652555402331,095,000$
2Alex BeaucageX100.0077728863734139495047466145454552205202431,315,000$
3Peter DiLiberatoreX100.007368846168393843252843584144444920510262990,000$
TEAM AVERAGE99.95747084697358615443505161444848556358
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
1Philipp Grubauer100.006259607265587166676285707361906503422,000,000$
2Vitek Vanecek100.006155567265566763646195636362836203031,600,000$
Scratches
TEAM AVERAGE100.0062575872655769656662906768628764
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Kevin Dineen60606060606060CAN5311,250,000$


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
1Hugh McGingComets (NJD)LW7121284907840122108165448412.73%21154821.81371016941122654045.74%945515000.63310134842
2Clark BishopComets (NJD)C50202545-17462073100141429514.18%19111922.398152342700005383253.85%7281817010.8025202924
3Jakob PelletierComets (NJD)LW67112334-1995888712943718.53%27143421.421910139000021011040.76%2114525100.4718100171
4David GustafssonComets (NJD)C/LW/RW50161733-175469296315416.67%1691318.263259371011622257.98%2382621010.7224100413
5Jayden GrubbeComets (NJD)C68181533-147745848370234325.71%21136520.0891120191001016433551.58%3491815000.4823324233
6Eetu LiukasComets (NJD)LW6216102681410636764183525.00%16109417.666511128421310923236.51%1891311000.4716110232
7Matthew RobertsonComets (NJD)D7161824-2419670811317737407.79%84183425.84369121230222112000%02448000.2600653013
8Chris WilkieComets (NJD)RW59111223-455368284175213.10%1491915.582024421011463140.76%2111911000.5014001020
9Jack RathboneComets (NJD)D7151419-184020688135131614.29%36137819.4249131512601151461240.00%101518100.2800021021
10Fabian WagnerComets (NJD)C715914-31010558028101417.86%10105314.841122200000122150.78%3841012000.2722101112
11Ethan SamsonComets (NJD)D7121113-88545571003628135.56%48141819.970000110000202050.00%21328000.1800207001
12Donovan SebrangoComets (NJD)D713912119715771043114129.68%41146420.62202883011075000%01823000.1600201011
13Samuel JohannessonComets (NJD)D7128101120431063313166.06%45155621.932247830111105000%1922000.1300000110
14Josh BloomComets (NJD)LW52268-7101035343122276.45%1067813.051345320000372051.47%68216000.2400002020
15Trevor KuntarComets (NJD)C57268534106852246128.33%1071112.4900002000020054.24%17757000.2200110001
16Matthew MaggioComets (NJD)RW70123-11005260304173.33%286612.370003300001141046.15%13115000.0700000000
17Alex BeaucageComets (NJD)RW24033-127251929202140%541717.41011238000050042.86%786000.1411212000
18Ethan EdwardsComets (NJD)D71033022035505310%1590312.7300000011164000%0315000.0700000000
19Dylan CoghlanComets (NJD)D57101-1008751320.00%22233.931012500002000%020000.0902000000
20Anton JohanssonComets (NJD)D70000-100210000%1711.020000000002000%00100000000000
21Layton AhacDevilsD9000-120252110%3849.380000000000000%00200000000000
22Peter DiLiberatoreComets (NJD)D5000000000000%010.220000000000000%00000000000000
23Dalton BancroftComets (NJD)RW50000-100631110%11673.360000000000000%02200011000000
Team Total or Average1318142219361-8677133511201462110737362112.83%4472122716.11467111717110806814371053271549.74%2682335310220.341646231528283024
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
1Philipp GrubauerComets (NJD)71362690.8672.3040620111561171672410.84144710535
2Vitek VanecekComets (NJD)90000.8633.01259001395520000071000
Team Total or Average80362690.8672.354321011169126672441447171535


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
Alex BeaucageComets (NJD)RW242001-07-25QUENo192 Lbs6 ft2NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,315,000$281,786$0$0$No1,315,000$1,315,000$-------1,315,000$1,315,000$-------NoNo-------Link
Anton JohanssonComets (NJD)D212004-06-10SWEYes196 Lbs6 ft3NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,279,000$274,071$0$0$No1,279,000$1,279,000$-------1,279,000$1,279,000$-------NoNo-------Link
Chris WilkieComets (NJD)RW291996-07-10USANo190 Lbs6 ft0NoNoAssign ManuallyNoNo12025-12-16FalseFalsePro & Farm1,000,000$214,286$0$0$No---------------------------Link
Clark BishopComets (NJD)C301996-03-29CANNo197 Lbs6 ft1NoNoAssign ManuallyNoNo12026-02-04FalseFalsePro & Farm1,000,000$214,286$0$0$No---------------------------Link / NHL Link
Dalton BancroftComets (NJD)RW252001-02-26ONNo207 Lbs6 ft3NoNoAssign ManuallyNoNo12026-02-04FalseFalsePro & Farm1,000,000$214,286$0$0$No---------------------------Link
David GustafssonComets (NJD)C/LW/RW262000-04-11SWENo196 Lbs6 ft2NoNoTrade2024-09-03NoNo2FalseFalsePro & Farm1,333,000$285,643$0$0$No1,333,000$--------1,333,000$--------No--------Link
Donovan SebrangoComets (NJD)D242002-01-12CANYes221 Lbs6 ft2NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,356,000$290,571$0$0$No1,356,000$1,356,000$-------1,356,000$1,356,000$-------NoNo-------Link
Dylan CoghlanComets (NJD)D281998-02-19CANNo208 Lbs6 ft2NoNoAssign ManuallyNoNo32025-11-06FalseFalsePro & Farm2,500,000$535,714$0$0$No2,500,000$2,500,000$-------2,500,000$2,500,000$-------NoNo-------Link / NHL Link
Eetu LiukasComets (NJD)LW232002-09-25FINNo205 Lbs6 ft3NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,095,000$234,643$0$0$No1,095,000$1,095,000$-------1,095,000$1,095,000$-------NoNo-------Link
Ethan EdwardsComets (NJD)D232002-06-06CANYes195 Lbs6 ft0NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,341,000$287,357$0$0$No1,341,000$1,341,000$-------1,341,000$1,341,000$-------NoNo-------Link
Ethan SamsonComets (NJD)D222003-08-23CANNo205 Lbs6 ft3NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,227,000$262,929$0$0$No1,227,000$1,227,000$-------1,227,000$1,227,000$-------NoNo-------Link
Fabian WagnerComets (NJD)C212004-05-07SWEYes176 Lbs6 ft0NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,277,000$273,643$0$0$No1,277,000$1,277,000$-------1,277,000$1,277,000$-------NoNo-------Link
Hugh McGingComets (NJD)LW271998-07-11USANo172 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm1,100,000$235,714$0$0$No1,100,000$--------1,100,000$--------No--------Link
Jack RathboneComets (NJD)D261999-05-20USANo185 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm1,232,000$264,000$0$0$No1,232,000$--------1,232,000$--------No--------Link
Jakob PelletierComets (NJD)LW252001-03-07CANNo170 Lbs5 ft9NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,488,000$318,857$0$0$No1,488,000$1,488,000$-------1,488,000$1,488,000$-------NoNo-------Link
Jayden GrubbeComets (NJD)C232003-01-12CANNo200 Lbs6 ft3NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,268,000$271,714$0$0$No1,268,000$1,268,000$-------1,268,000$1,268,000$-------NoNo-------Link
Josh BloomComets (NJD)LW222003-06-08ONTNo182 Lbs6 ft2NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,271,000$272,357$0$0$No1,271,000$1,271,000$-------1,271,000$1,271,000$-------NoNo-------Link
Matthew MaggioComets (NJD)RW232002-11-25ONTNo187 Lbs5 ft11NoNoProspectNoNo22024-09-17FalseFalsePro & Farm820,000$175,714$0$0$No820,000$--------820,000$--------No--------Link
Matthew RobertsonComets (NJD)D252001-03-09CANYes211 Lbs6 ft4NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,402,000$300,429$0$0$No1,402,000$1,402,000$-------1,402,000$1,402,000$-------NoNo-------Link
Peter DiLiberatoreComets (NJD)D262000-03-31NSNo185 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm990,000$212,143$0$0$No990,000$--------990,000$--------No--------Link
Philipp GrubauerComets (NJD)G341991-11-25GERNo188 Lbs6 ft1NoNoFree AgentNoNo22024-09-18FalseFalsePro & Farm2,000,000$428,571$0$0$No2,000,000$--------2,000,000$--------No--------Link / NHL Link
Samuel JohannessonComets (NJD)D252000-12-27SWEYes181 Lbs5 ft11NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,372,000$294,000$0$0$No1,372,000$1,372,000$-------1,372,000$1,372,000$-------NoNo-------Link
Trevor KuntarComets (NJD)C242001-06-20USANo201 Lbs6 ft0NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,093,000$234,214$0$0$No1,093,000$1,093,000$-------1,093,000$1,093,000$-------NoNo-------Link
Vitek VanecekComets (NJD)G301996-01-09CZENo184 Lbs6 ft2NoNoAssign ManuallyNoNo32025-11-06FalseFalsePro & Farm1,600,000$342,857$0$0$No1,600,000$1,600,000$-------1,600,000$1,600,000$-------NoNo-------Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2425.25193 Lbs6 ft12.501,306,625$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jayden GrubbeClark BishopJakob Pelletier40122
2Hugh McGingFabian WagnerChris Wilkie30122
3Hugh McGingClark BishopChris Wilkie20122
4Jakob PelletierClark BishopHugh McGing10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Matthew RobertsonEthan Samson40122
2Samuel JohannessonDonovan Sebrango30122
3Jack RathboneMatthew Robertson20122
4Ethan EdwardsMatthew Robertson10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Fabian WagnerJayden GrubbeClark Bishop60122
2Hugh McGingJakob PelletierChris Wilkie40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Matthew RobertsonJack Rathbone60122
2Samuel JohannessonDonovan Sebrango40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Jakob PelletierChris Wilkie60122
2Hugh McGingClark Bishop40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Matthew RobertsonJack Rathbone60122
2Samuel JohannessonDonovan Sebrango40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Clark Bishop60122Matthew RobertsonEthan Edwards60122
2Hugh McGing40122Samuel JohannessonDonovan Sebrango40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Chris WilkieJayden Grubbe60122
2Hugh McGingClark Bishop40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Matthew RobertsonEthan Edwards60122
2Samuel JohannessonDonovan Sebrango40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Chris WilkieHugh McGingClark BishopMatthew RobertsonEthan Samson
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Chris WilkieHugh McGingClark BishopMatthew RobertsonEthan Samson
Extra Forwards
Normal PowerPlayPenalty Kill
Hugh McGing, Clark Bishop, Chris WilkieHugh McGing, Clark BishopHugh McGing
Extra Defensemen
Normal PowerPlayPenalty Kill
Jack Rathbone, Matthew Robertson, Ethan EdwardsJack RathboneMatthew Robertson, Ethan Edwards
Penalty Shots
Jakob Pelletier, Chris Wilkie, Hugh McGing, Clark Bishop, Jayden Grubbe
Goalie
#1 : Philipp Grubauer, #2 : Vitek Vanecek


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
1Admirals22000000725110000003211100000040441.0007132001195367194227035446366351819368450.00%20100.00%046292549.95%487100548.46%38570454.69%120042113058071819901
2Americans41100020141223110001010911000001043160.7501417310019536719822703544636610437495510550.00%12741.67%046292549.95%487100548.46%38570454.69%120042113058071819901
3Barracuda5010031025-3200001102203010020003-350.50021300195367195027035446366611744621119.09%7185.71%046292549.95%487100548.46%38570454.69%120042113058071819901
4Bears2110000037-41010000016-51100000021120.5003580019536719172703544636652173333200.00%9277.78%146292549.95%487100548.46%38570454.69%120042113058071819901
5Bruins3120000035-22110000023-11010000012-120.3333580019536719352703544636648171044100.00%5420.00%046292549.95%487100548.46%38570454.69%120042113058071819901
6Canucks211000004311010000013-21100000030320.500461011195367192027035446366281515303133.33%000%046292549.95%487100548.46%38570454.69%120042113058071819901
7Checkers2110000035-21010000015-41100000020220.5003580119536719272703544636616821332150.00%3233.33%046292549.95%487100548.46%38570454.69%120042113058071819901
8Condors1000000112-1000000000001000000112-110.500123001953671912270354463661712113133.33%10100.00%046292549.95%487100548.46%38570454.69%120042113058071819901
9Crunch21000010413110000003121000001010141.0004610011953671938270354463662531444200.00%7185.71%046292549.95%487100548.46%38570454.69%120042113058071819901
10Eagles22000000532110000003211100000021141.000591400195367193127035446366171316355360.00%8275.00%046292549.95%487100548.46%38570454.69%120042113058071819901
11Griffins3120000079-2110000003122020000048-420.333781500195367194827035446366511925439333.33%5340.00%046292549.95%487100548.46%38570454.69%120042113058071819901
12Gulls2110000035-21010000015-41100000020220.5003580119536719302703544636622825288112.50%5260.00%046292549.95%487100548.46%38570454.69%120042113058071819901
13Heat10000010431000000000001000001043121.0004370019536719192703544636631138232150.00%4250.00%046292549.95%487100548.46%38570454.69%120042113058071819901
14IceHogs4210001010912110000067-12100001042260.75010152501195367196827035446366492022745240.00%6266.67%046292549.95%487100548.46%38570454.69%120042113058071819901
15Islanders1010000004-4000000000001010000004-400.0000000019536719172703544636632141415000%7185.71%046292549.95%487100548.46%38570454.69%120042113058071819901
16Marlies22000000826110000004041100000042241.000813210119536719212703544636621738334250.00%40100.00%046292549.95%487100548.46%38570454.69%120042113058071819901
17Monsters3120000036-32020000026-41100000010120.33334701195367196327035446366331851449111.11%8362.50%046292549.95%487100548.46%38570454.69%120042113058071819901
18Moose32001000716110000002022100100051461.0007101702195367193827035446366231010365120.00%50100.00%146292549.95%487100548.46%38570454.69%120042113058071819901
19Penguins2010000125-31000000112-11010000013-210.250235001953671925270354463662691937000%7271.43%046292549.95%487100548.46%38570454.69%120042113058071819901
20Phantoms10000010541100000105410000000000021.00056110019536719282703544636628519224250.00%7185.71%046292549.95%487100548.46%38570454.69%120042113058071819901
21Reign3110010089-11000010034-12110000055030.5008111900195367195727035446366883822495120.00%11372.73%346292549.95%487100548.46%38570454.69%120042113058071819901
22Roadrunners22000000954110000006331100000032141.0009142300195367193827035446366562416288562.50%3166.67%046292549.95%487100548.46%38570454.69%120042113058071819901
23Rocket20100010440100000102111010000023-120.500459001953671937270354463661933833100.00%15380.00%046292549.95%487100548.46%38570454.69%120042113058071819901
24Senators31100100712-5210001006601010000016-530.50071320001953671949270354463669724473911218.18%6350.00%046292549.95%487100548.46%38570454.69%120042113058071819901
25Silver Knights20001010532100000104311000100010141.00056110119536719332703544636624113631200.00%30100.00%046292549.95%487100548.46%38570454.69%120042113058071819901
26Stars2020000026-41010000013-21010000013-200.00023500195367191427035446366361113314125.00%4250.00%046292549.95%487100548.46%38570454.69%120042113058071819901
27Thunderbirds20200000516-1110100000310-71010000026-400.000581300195367194727035446366691970356350.00%10550.00%046292549.95%487100548.46%38570454.69%120042113058071819901
28Wild2020000049-51010000035-21010000014-300.00047110019536719352703544636678231136100.00%30100.00%046292549.95%487100548.46%38570454.69%120042113058071819901
29Wolf Pack11000000312000000000001100000031221.000347001953671992703544636612319163266.67%2150.00%046292549.95%487100548.46%38570454.69%120042113058071819901
30Wolves50201200914-53020100058-32000020046-240.40091221001953671977270354463666922458410330.00%10460.00%146292549.95%487100548.46%38570454.69%120042113058071819901
Total71242603792151172-213511140135183101-18361312024416871-3810.57015121937011119536719110727035446366126744777111201444631.94%1795768.16%646292549.95%487100548.46%38570454.69%120042113058071819901
_Since Last GM Reset71242603792151172-213511140135183101-18361312024416871-3810.57015121937011119536719110727035446366126744777111201444631.94%1795768.16%646292549.95%487100548.46%38570454.69%120042113058071819901
_Vs Conference37914026516279-171949012303750-131855014212529-4390.5276291153161953671955627035446366582185379576701420.00%782469.23%146292549.95%487100548.46%38570454.69%120042113058071819901
_Vs Division1948016304951-2925012202732-510230041022193220.5794979128041953671931327035446366363138177311421945.24%411270.73%146292549.95%487100548.46%38570454.69%120042113058071819901

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
7181W1151219370110712674477711120111
All Games
GPWLOTWOTL SOWSOLGFGA
7124263792151172
Home Games
GPWLOTWOTL SOWSOLGFGA
351114135183101
Visitor Games
GPWLOTWOTL SOWSOLGFGA
36131224416871
Last 10 Games
WLOTWOTL SOWSOL
820000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1444631.94%1795768.16%6
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
2703544636619536719
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
46292549.95%487100548.46%38570454.69%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
120042113058071819901


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
211Wolves4Comets2LBox score
333Comets1Senators6LBox score
444Bruins1Comets2WBox score
662Comets0Barracuda1LXBox score
779IceHogs2Comets4WBox score
993Comets2Rocket3LBox score
10103Monsters3Comets2LBox score
11125Americans4Comets6WBox score
12143Comets4Heat3WXXBox score
14158Wolves2Comets0LBox score
15167Comets2Wolves3LXBox score
16183Comets3Griffins5LBox score
17198Comets5Reign3WBox score
18209Senators2Comets3WBox score
19229Comets3Moose0WBox score
20240Barracuda1Comets2WXXBox score
22258Monsters3Comets0LBox score
23273Comets0Barracuda1LBox score
24288Comets0Reign2LBox score
26301Eagles2Comets3WBox score
27318Comets4Marlies2WBox score
28330Bears6Comets1LBox score
29348Comets2Gulls0WBox score
30363Barracuda1Comets0LXBox score
31379Comets1Penguins3LBox score
32392Comets1Stars3LBox score
33401Thunderbirds10Comets3LBox score
35422Penguins2Comets1LXXBox score
36441Comets1Silver Knights0WXBox score
37454Silver Knights3Comets4WXXBox score
38470Comets1Griffins3LBox score
40485Wild5Comets3LBox score
41502Comets1Wild4LBox score
42518Americans1Comets2WXXBox score
43532Comets2Wolves3LXBox score
44548Wolves2Comets3WXBox score
45558Comets3Canucks0WBox score
46576Comets4Americans3WXXBox score
47590Gulls5Comets1LBox score
48608Comets0Barracuda1LXBox score
49617Americans4Comets2LBox score
50639Admirals2Comets3WBox score
51651Comets1Condors2LXXBox score
52667Comets2Thunderbirds6LBox score
53679Marlies0Comets4WBox score
54696Comets4Admirals0WBox score
55710Crunch1Comets3WBox score
57732Griffins1Comets3WBox score
59753Reign4Comets3LXBox score
60766Comets1Bruins2LBox score
61778Comets2Moose1WXBox score
63794Moose0Comets2WBox score
64809Comets2Checkers0WBox score
65828Checkers5Comets1LBox score
67844Comets1Monsters0WBox score
68855Comets0Islanders4LBox score
69867IceHogs5Comets2LBox score
70887Comets3Roadrunners2WBox score
71898Stars3Comets1LBox score
73913Comets2Bears1WBox score
74925Senators4Comets3LXBox score
75946Roadrunners3Comets6WBox score
77963Comets1Crunch0WXXBox score
79977Comets1IceHogs0WXXBox score
80988Phantoms4Comets5WXXBox score
811009Bruins2Comets0LBox score
821024Comets2Eagles1WBox score
841042Rocket1Comets2WXXBox score
851049Comets3Wolf Pack1WBox score
861072Canucks3Comets1LBox score
881093Comets3IceHogs2WBox score
891101Islanders-Comets-
901118Comets-Phantoms-
921137Rocket-Comets-
931155Comets-Rocket-
941166Condors-Comets-
961188Wolf Pack-Comets-
Trade Deadline --- Trades can’t be done after this day is simulated!
971194Comets-Monsters-
981200Comets-Heat-
1001229IceHogs-Comets-
1011235Comets-Rocket-
1031258Comets-Senators-
1041266Canucks-Comets-
1051284Comets-Senators-
1071299Heat-Comets-
1101321Monsters-Comets-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance48,23526,470
Attendance PCT68.91%75.63%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
8 2134 - 71.15% 88,773$3,107,063$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
3,375,615$ 3,135,900$ 3,135,900$ 1,250,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
27,999$ 2,393,447$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
710,186$ 24 39,160$ 939,840$




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