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

Comets
GP: 54 | W: 32 | L: 18 | OTL: 4 | P: 68
GF: 248 | GA: 210 | PP%: 21.83% | PK%: 67.02%
GM : Matthieu Gauvin | Morale : 51 | Team Overall : 66
Next Games #754 vs Little Stars

Game Center
Eagles
29-26-3, 61pts
4
5 Comets
32-18-4, 68pts
Team Stats
L2StreakW3
19-10-0Home Record15-11-3
10-16-3Home Record17-7-1
5-5-0Last 10 Games5-5-0
4.55Goals Per Game4.59
4.41Goals Against Per Game3.89
26.99%Power Play Percentage21.83%
78.28%Penalty Kill Percentage67.02%
Comets
32-18-4, 68pts
5
2 Wranglers
24-31-3, 51pts
Team Stats
W3StreakL1
15-11-3Home Record14-14-1
17-7-1Home Record10-17-2
5-5-0Last 10 Games7-1-2
4.59Goals Per Game3.67
3.89Goals Against Per Game4.43
21.83%Power Play Percentage25.13%
67.02%Penalty Kill Percentage76.50%
Comets
32-18-4, 68pts
Day 120
Little Stars
22-29-8, 52pts
Team Stats
W3StreakL2
15-11-3Home Record12-11-5
17-7-1Away Record10-18-3
5-5-0Last 10 Games3-6-1
4.59Goals Per Game4.02
3.89Goals Against Per Game4.02
21.83%Power Play Percentage22.07%
67.02%Penalty Kill Percentage76.45%
Marlies
32-21-6, 70pts
Day 121
Comets
32-18-4, 68pts
Team Stats
W1StreakW3
16-11-2Home Record15-11-3
16-10-4Away Record17-7-1
7-2-1Last 10 Games5-5-0
4.69Goals Per Game4.59
4.17Goals Against Per Game4.59
20.56%Power Play Percentage21.83%
79.19%Penalty Kill Percentage67.02%
Comets
32-18-4, 68pts
Day 123
Marlies
32-21-6, 70pts
Team Stats
W3StreakW1
15-11-3Home Record16-11-2
17-7-1Away Record16-10-4
5-5-0Last 10 Games7-2-1
4.59Goals Per Game4.69
3.89Goals Against Per Game4.69
21.83%Power Play Percentage20.56%
67.02%Penalty Kill Percentage79.19%
Team Leaders
Goals
Brett Seney
41
Assists
Brett Seney
55
Points
Brett Seney
96
Plus/Minus
Vincent Desharnais
19
Wins
Akira Schmid
16
Save Percentage
Akira Schmid
0.878

Team Stats
Goals For
248
4.59 GFG
Shots For
1803
33.39 Avg
Power Play Percentage
21.8%
43 GF
Offensive Zone Start
36.9%
Goals Against
210
3.89 GAA
Shots Against
1757
32.54 Avg
Penalty Kill Percentage
67.0%%
31 GA
Defensive Zone Start
34.2%
Team Info

General ManagerMatthieu Gauvin
CoachMike Keenan
DivisionGunther-Sabetzki
ConferenceLouis-Magnus
CaptainBrett Seney
Assistant #1
Assistant #2Alexandre Texier


Arena Info

Capacity3,000
Attendance2,776
Season Tickets300


Roster Info

Pro Team27
Farm Team21
Contract Limit48 / 250
Prospects0


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
1Patrik Laine (R)X100.0068288382808079807073876280585261327502222,500,000$
2Brett Seney (R) (C)X100.006435818470767181697483687464613853740241950,000$
3Conor Garland (R)X100.007850818183678076657779696660544063740241950,000$
4Joonas DonskoiX100.006925757468768076798371657375662964720281950,000$
5Brett Howden (R)X100.006630887569857172757972726852475051720222700,000$
6Alexandre Texier (R) (A)X100.006330818065766878707475667846475764710212800,000$
7Mason MarchmentX100.007233866975717771727185607261534151710251600,000$
8Cristiano Digiacinto (R)X100.006237837563737160697461756048483364670241600,000$
9Eeli Tolvanen (R)X100.006323876968697867626082657344465450670213600,000$
10Nicolas Roy (R)X100.005942767367636474726867596548483964660231750,000$
11David Kase (R)X100.006733717064657063696772607047483764650231900,000$
12Alex Turcotte (R)X100.006349726664686163686766616941416654630191500,000$
13Jake Bean (R)X100.006534798367737481527969765359484960720222750,000$
14Wyatt Kalynuk (R)X100.006229827766628085507458775556525152700232800,000$
15Marcus Bjork (R)X100.006541787766747372506859776150505456690233700,000$
16Vincent Desharnais (R)X100.006942696867776755486560724252513264660241500,000$
17Filip Roos (R)X100.006739736262676171526262655844466164630214500,000$
18Ben Meehan (R)X100.005022696947426274377055543543416552580192500,000$
19Thimo Nickl (R)X100.005831626150635761355648584140406735560181500,000$
Scratches
1Nikita Nesterenko (R)X100.005337775174636457686177385841416517590191500,000$
2Cross Hanas (R)X100.004936627354664467605855536740406819580183950,000$
3Graeme Clarke (R)X100.005343766855635857646056575841415920580191500,000$
4Daniel Torgersson (R)X100.005728675466635359535567354940406420550182500,000$
5Christian WolaninX84.917633877468697974507882695969564051740251950,000$
TEAM AVERAGE99.37633577716669687061696963625148514966
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Juuse Saros100.00667880716979806772827464524054730251850,000$
2Akira Schmid100.00806266837365627266628145456578670204600,000$
Scratches
1Matthew Thiessen100.00624153686749576057515442425420570202500,000$
TEAM AVERAGE100.0069606674706466666565705046535166
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Mike Keenan86748471997343CAN674800,000$


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name Team NamePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Brett SeneyComets (N.J)C524155961416064752287412517.98%31106720.53151328341610001345149.73%14825714051.8002000961
2Conor GarlandComets (N.J)RW523747841816094712247112016.52%22106720.5391120391641011184156.67%605019201.5701000493
3Alexandre TexierComets (N.J)LW5421396088078641565311113.46%1998818.302810141470001272143.48%693722011.2102000505
4Brett HowdenComets (N.J)C501729465407486101347616.83%2993218.65257121320111642048.05%8701916010.9900000523
5Mason MarchmentComets (N.J)LW52222042260745492324823.91%23102619.7337107159000046162.30%611315000.8211000008
6Christian WolaninComets (N.J)D46102939920799283332612.05%72116225.2836911157000028200%02529000.6700000033
7Joonas DonskoiComets (N.J)RW54141832-9407352122277411.48%1670713.110111291122262241.86%432810000.9001000111
8Nicolas RoyComets (N.J)C54131932720415094245713.83%1166512.321122200110171050.27%374199010.9600000202
9Patrik LaineComets (N.J)RW29131730-1460372688264814.77%1256319.44481218850000223038.67%751612001.0600000112
10Jake BeanComets (N.J)D5452530-8395559510939474.59%95123422.8715614190011055110%02436000.4900000001
11Cristiano DigiacintoComets (N.J)LW54141024800453574284418.92%2058610.86000052023670046.43%281613000.8200000020
12Wyatt KalynukComets (N.J)D5122022-316056637424342.70%53105520.690338132022065000%02030000.4200000002
13David KaseComets (N.J)RW54981710100543677224411.69%94959.1700019000000046.15%13143000.6900000011
14Marcus BjorkComets (N.J)D4811617916056534025262.50%4694619.721235117000048000%0832000.3600000010
15Eeli TolvanenComets (N.J)LW48981700050285473816.67%1357612.02000010000061041.67%242012000.5900000110
16Vincent DesharnaisComets (N.J)D54014141920047513124190%5587116.14011029000042000%0725000.3200000011
17Alex TurcotteComets (N.J)C545712680542850163510.00%164818.9200003000010142.63%19077000.5000000000
18Filip RoosComets (N.J)D54011111218048543613130%4481215.04000117000023000%0126000.2700000000
19Ben MeehanComets (N.J)D44044148010118420%133507.970000400008000%048000.2300000000
20Cross HanasComets (N.J)LW81233206044525.00%0708.810000000002000%203000.8500000000
21Nikita NesterenkoComets (N.J)C9123-1002341025.00%2647.1300001000000055.00%2000000.9300000000
22Thimo NicklComets (N.J)D3000120211000%14013.380000000002000%00000000000000
23Graeme ClarkeComets (N.J)RW9000100434240%1677.480000000000000%00000000000000
Team Total or Average987235400635111203511031031175458399613.40%6031583516.04417111216715794610957029848.72%3311385341280.8017000282833
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
1Akira SchmidComets (N.J)2716620.8783.7713702086706379300.83362331000
2Juuse SarosComets (N.J)197710.8534.8292240745042530100184000
Team Total or Average46231330.8684.1922926016012106323164135000


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Country Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall Type Current Salary Salary RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Akira SchmidComets (N.J)G202000-01-01CHENo205 Lbs6 ft5NoNoFree AgentNoNo42025-09-17FalseFalsePro & Farm600,000$177,515$0$0$No700,000$800,000$900,000$------700,000$800,000$900,000$------NoNoNo------Link
Alex TurcotteComets (N.J)C192001-01-01USAYes185 Lbs5 ft11NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$147,929$0$0$No---------------------------Link
Alexandre TexierComets (N.J)LW211999-01-01FRAYes186 Lbs6 ft1NoNoFree AgentNoNo22024-08-21FalseFalsePro & Farm800,000$236,686$0$0$No900,000$--------700,000$--------No--------Link
Ben MeehanComets (N.J)D192001-01-01USAYes188 Lbs6 ft0NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$147,929$0$0$No500,000$--------500,000$--------No--------
Brett HowdenComets (N.J)C221998-01-01CANYes194 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm700,000$207,101$0$0$No700,000$--------700,000$--------No--------Link
Brett SeneyComets (N.J)C241996-01-01CANYes156 Lbs5 ft9NoNoFree AgentNoNo12025-09-17FalseFalsePro & Farm950,000$281,065$0$0$No---------------------------Link
Christian Wolanin (Out of Payroll)Comets (N.J)D251995-01-01CANNo185 Lbs6 ft2NoNoFree AgentNoNo12024-09-17FalseFalsePro & Farm950,000$281,065$0$0$Yes---------------------------Link
Conor GarlandComets (N.J)RW241996-01-01USAYes165 Lbs5 ft10NoNoFree AgentNoNo12025-09-17FalseFalsePro & Farm950,000$281,065$0$0$No---------------------------Link
Cristiano DigiacintoComets (N.J)LW241996-01-01CANYes186 Lbs5 ft11NoNoFree AgentNoNo12025-09-17FalseFalsePro & Farm600,000$177,515$0$0$No---------------------------Link
Cross HanasComets (N.J)LW182002-01-01USAYes167 Lbs6 ft1NoNoFree AgentNoNo32025-10-26FalseFalsePro & Farm950,000$281,065$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------
Daniel TorgerssonComets (N.J)LW182002-01-01SWEYes205 Lbs6 ft3NoNoAssign ManuallyNoNo22025-07-16FalseFalsePro & Farm500,000$147,929$0$0$No500,000$--------500,000$--------No--------
David KaseComets (N.J)RW231997-01-01CZEYes169 Lbs5 ft11NoNoFree AgentNoNo12024-10-06FalseFalsePro & Farm900,000$266,272$0$0$No---------------------------Link
Eeli TolvanenComets (N.J)LW211999-01-01FINYes191 Lbs5 ft10NoNoFree AgentNoNo32024-08-21FalseFalsePro & Farm600,000$177,515$0$0$No700,000$900,000$-------500,000$500,000$-------NoNo-------Link
Filip RoosComets (N.J)D211999-01-01SWEYes190 Lbs6 ft3NoNoFree AgentNoNo42025-09-17FalseFalsePro & Farm500,000$147,929$0$0$No500,000$600,000$600,000$------500,000$600,000$600,000$------NoNoNo------Link
Graeme ClarkeComets (N.J)RW192001-01-01USAYes174 Lbs6 ft0NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$147,929$0$0$No---------------------------Link
Jake BeanComets (N.J)D221998-01-01CANYes187 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm750,000$221,893$0$0$No750,000$--------750,000$--------No--------Link
Joonas DonskoiComets (N.J)RW281992-01-01FINNo180 Lbs6 ft0NoNoFree AgentNoNo12025-09-17FalseFalsePro & Farm950,000$281,065$0$0$No---------------------------Link
Juuse SarosComets (N.J)G251995-01-01FINNo185 Lbs5 ft11NoNoTrade2026-02-27NoNo1FalseFalsePro & Farm850,000$251,479$0$0$No---------------------------Link
Marcus BjorkComets (N.J)D231997-01-01SWEYes203 Lbs6 ft3NoNoFree AgentNoNo32025-09-17FalseFalsePro & Farm700,000$207,101$0$0$No800,000$900,000$-------800,000$900,000$-------NoNo-------Link
Mason MarchmentComets (N.J)LW251995-01-01CANNo209 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm600,000$177,515$0$0$No---------------------------Link
Matthew ThiessenComets (N.J)G202000-01-01CANNo208 Lbs6 ft2NoNoFree AgentNoNo22025-10-28FalseFalsePro & Farm500,000$147,929$0$0$No500,000$--------500,000$--------No--------Link
Nicolas RoyComets (N.J)C231997-01-01CANYes200 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm750,000$221,893$0$0$No---------------------------Link
Nikita NesterenkoComets (N.J)C192001-01-01USAYes183 Lbs6 ft2NoNoAssign ManuallyNoNo12024-07-10FalseFalsePro & Farm500,000$147,929$0$0$No---------------------------Link
Patrik LaineComets (N.J)RW221998-01-01FINYes205 Lbs6 ft4NoNoTrade2026-02-27NoNo2FalseFalsePro & Farm2,500,000$739,645$0$0$No3,500,000$--------900,000$--------No--------Link
Thimo NicklComets (N.J)D182002-01-01AUTYes176 Lbs6 ft2NoNoFree AgentNoNo12026-02-22FalseFalsePro & Farm500,000$147,929$0$0$No---------500,000$-----------------
Vincent DesharnaisComets (N.J)D241996-01-01CANYes227 Lbs6 ft7NoNoFree AgentNoNo12025-09-17FalseFalsePro & Farm500,000$147,929$0$0$No---------------------------Link
Wyatt KalynukComets (N.J)D231997-01-01CANYes180 Lbs6 ft1NoNoFree AgentNoNo22024-08-21FalseFalsePro & Farm800,000$236,686$0$0$No900,000$--------700,000$--------No--------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2721.85188 Lbs6 ft11.74755,556$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Mason MarchmentBrett SeneyConor Garland36014
2Alexandre TexierBrett HowdenPatrik Laine34014
3Eeli TolvanenAlex TurcotteJoonas Donskoi20014
4Cristiano DigiacintoNicolas RoyDavid Kase10014
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jake BeanWyatt Kalynuk35041
2Marcus BjorkVincent Desharnais30041
3Filip RoosBen Meehan25041
4Jake BeanThimo Nickl10041
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Alexandre TexierBrett HowdenPatrik Laine60005
2Mason MarchmentBrett SeneyConor Garland40005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Jake BeanWyatt Kalynuk60023
2Marcus BjorkVincent Desharnais40023
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Joonas DonskoiCristiano Digiacinto60041
2Brett HowdenConor Garland40041
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jake BeanWyatt Kalynuk60050
2Marcus BjorkVincent Desharnais40050
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Brett Seney60041Jake BeanWyatt Kalynuk60050
2Brett Howden40041Marcus BjorkVincent Desharnais40050
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Brett SeneyAlexandre Texier60023
2Brett HowdenMason Marchment40023
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jake BeanWyatt Kalynuk60032
2Marcus BjorkVincent Desharnais40032
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Alexandre TexierBrett SeneyPatrik LaineJake BeanWyatt Kalynuk
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Cristiano DigiacintoBrett HowdenConor GarlandJake BeanWyatt Kalynuk
Extra Forwards
Normal PowerPlayPenalty Kill
Brett Howden, Alexandre Texier, Mason MarchmentBrett Howden, Alexandre TexierBrett Howden
Extra Defensemen
Normal PowerPlayPenalty Kill
Vincent Desharnais, Thimo Nickl, Ben MeehanVincent DesharnaisVincent Desharnais, Thimo Nickl
Penalty Shots
Patrik Laine, Conor Garland, Brett Seney, Joonas Donskoi, Brett Howden
Goalie
#1 : Juuse Saros, #2 : Akira Schmid, #3 : 0
Custom OT Lines Forwards
Patrik Laine, Conor Garland, Brett Seney, Alexandre Texier, Brett Howden, Joonas Donskoi, Mason Marchment, Cristiano Digiacinto, Eeli Tolvanen, Nicolas Roy
Custom OT Lines Defensemen
Jake Bean, Wyatt Kalynuk, Marcus Bjork, Vincent Desharnais, Filip Roos


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
1Admirals321000001718-1211000001013-31100000075240.667173249008295684113665609525131163214609444.44%7442.86%0589120348.96%541111448.56%47694450.42%12087191101470942484
2Americans210001009811000010034-11100000064230.750916250082956846166560952513542264010220.00%3166.67%0589120348.96%541111448.56%47694450.42%12087191101470942484
3Barracuda211000009721010000045-11100000052320.500914230082956846266560952513601912504125.00%6266.67%0589120348.96%541111448.56%47694450.42%12087191101470942484
4Bears21100000990110000008441010000015-420.50091423008295684716656095251364158439111.11%4175.00%0589120348.96%541111448.56%47694450.42%12087191101470942484
5Canucks220000001293110000007521100000054141.000122133008295684646656095251377208338112.50%4175.00%0589120348.96%541111448.56%47694450.42%12087191101470942484
6Checkers22000000954220000009540000000000041.000916250082956846866560952513612510419111.11%5340.00%0589120348.96%541111448.56%47694450.42%12087191101470942484
7Condors1000000167-11000000167-10000000000010.5006915008295684426656095251341228163133.33%4175.00%0589120348.96%541111448.56%47694450.42%12087191101470942484
8Crunch411011001819-1301011001416-21100000043150.6251827450082956841326656095251314252147213215.38%7271.43%0589120348.96%541111448.56%47694450.42%12087191101470942484
9Eagles321000001514121100000910-11100000064240.6671523381082956848866560952513109518727342.86%4175.00%1589120348.96%541111448.56%47694450.42%12087191101470942484
10Griffins20200000611-520200000611-50000000000000.00061117008295684666656095251368244418225.00%220.00%0589120348.96%541111448.56%47694450.42%12087191101470942484
11Gulls312000001013-31010000024-22110000089-120.33310172700829568410366560952513923065816212.50%3166.67%0589120348.96%541111448.56%47694450.42%12087191101470942484
12Icehogs1010000035-21010000035-20000000000000.00034700829568447665609525133311220500.00%10100.00%0589120348.96%541111448.56%47694450.42%12087191101470942484
13Islander1010000034-1000000000001010000034-100.00036900829568436665609525133613419300.00%2150.00%0589120348.96%541111448.56%47694450.42%12087191101470942484
14Marlies2200000013310110000007161100000062441.000131932008295684756656095251359228398450.00%40100.00%0589120348.96%541111448.56%47694450.42%12087191101470942484
15Moose1010000013-2000000000001010000013-200.00012300829568414665609525132691026200.00%5180.00%0589120348.96%541111448.56%47694450.42%12087191101470942484
16Penguins43100000191271100000074332100000128460.7501930490082956841426656095251312940109616531.25%5260.00%0589120348.96%541111448.56%47694450.42%12087191101470942484
17Punishers11000000422000000000001100000042221.00047110082956843166560952513259424200.00%10100.00%0589120348.96%541111448.56%47694450.42%12087191101470942484
18Roadrunners21100000880000000000002110000088020.50081321008295684566656095251374188395240.00%4175.00%1589120348.96%541111448.56%47694450.42%12087191101470942484
19Rockets43100000191182200000011652110000085360.7501935540082956841236656095251311231259712433.33%6183.33%0589120348.96%541111448.56%47694450.42%12087191101470942484
20Senators210000101183100000107611100000042241.00011193000829568468665609525137121640700.00%3233.33%0589120348.96%541111448.56%47694450.42%12087191101470942484
21Thunderbirds431000002191221100000651220000001541160.750213253008295684136665609525131164389316318.75%40100.00%1589120348.96%541111448.56%47694450.42%12087191101470942484
22Wolfpack1010000046-21010000046-20000000000000.00045900829568439665609525133884224250.00%220.00%0589120348.96%541111448.56%47694450.42%12087191101470942484
23Wranglers521011002219331101000141312100010086270.70022375910829568416666560952513154751810521314.29%8275.00%1589120348.96%541111448.56%47694450.42%12087191101470942484
Total542918023112482103829121102211137130725177001001118031680.630248409657208295684180366560952513175761220511461974321.83%943167.02%4589120348.96%541111448.56%47694450.42%12087191101470942484
_Since Last GM Reset542918023112482103829121102211137130725177001001118031680.630248409657208295684180366560952513175761220511461974321.83%943167.02%4589120348.96%541111448.56%47694450.42%12087191101470942484
_Vs Conference321711022001441202419880210087816139300100573918400.62514423437820829568410646656095251310243771196931182924.58%521865.38%2589120348.96%541111448.56%47694450.42%12087191101470942484
_Vs Division13630220059491083202100393545310010020146180.6925999158108295684421665609525134081585727446919.57%21576.19%1589120348.96%541111448.56%47694450.42%12087191101470942484

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
5468W324840965718031757612205114620
All Games
GPWLOTWOTL SOWSOLGFGA
5429182311248210
Home Games
GPWLOTWOTL SOWSOLGFGA
2912112211137130
Visitor Games
GPWLOTWOTL SOWSOLGFGA
25177010011180
Last 10 Games
WLOTWOTL SOWSOL
451000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1974321.83%943167.02%4
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
665609525138295684
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
589120348.96%541111448.56%47694450.42%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
12087191101470942484


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
214Rockets2Comets4WBox score
532Admirals6Comets8WBox score
854Crunch7Comets6LXBox score
1064Comets4Crunch3WBox score
1275Comets5Penguins3WBox score
1384Wranglers6Comets4LBox score
16100Comets3Wranglers4LXBox score
17108Eagles6Comets4LBox score
19120Comets7Rockets1WBox score
21135Rockets4Comets7WBox score
25157Crunch4Comets5WXBox score
27172Comets5Penguins1WBox score
29178Comets4Gulls7LBox score
30185Thunderbirds2Comets4WBox score
35211Penguins4Comets7WBox score
38232Comets7Roadrunners3WBox score
39237Americans4Comets3LXBox score
42253Comets5Canucks4WBox score
43264Wolfpack6Comets4LBox score
46281Comets4Gulls2WBox score
47289Bears4Comets8WR1Box score
50307Comets4Senators2WBox score
52316Griffins5Comets3LBox score
55333Comets2Penguins4LBox score
56342Gulls4Comets2LBox score
59363Comets7Admirals5WBox score
60367Canucks5Comets7WBox score
63391Senators6Comets7WXXBox score
65405Comets3Islander4LR1Box score
67418Condors7Comets6LXXBox score
68426Comets4Punishers2WBox score
71444Checkers2Comets5WBox score
73461Comets6Americans4WBox score
75469Griffins6Comets3LBox score
79495Crunch5Comets3LBox score
81507Comets6Marlies2WBox score
83521Marlies1Comets7WBox score
85533Comets1Bears5LR1Box score
87541Comets1Roadrunners5LBox score
88549Wranglers3Comets5WBox score
91572Checkers3Comets4WBox score
93585Comets6Eagles4WBox score
95599Thunderbirds3Comets2LBox score
97608Comets10Thunderbirds1WBox score
99622Comets5Barracuda2WBox score
100626Icehogs5Comets3LBox score
103650Comets1Moose3LBox score
104655Admirals7Comets2LBox score
107677Barracuda5Comets4LBox score
109687Comets1Rockets4LBox score
111703Wranglers4Comets5WXBox score
113711Comets5Thunderbirds3WBox score
116729Eagles4Comets5WBox score
118744Comets5Wranglers2WBox score
120754Comets-Little Stars-
121757Marlies-Comets-
123778Comets-Marlies-
124784Little Stars-Comets-
126798Comets-Wolfpack-
129809Islander-Comets-
131822Comets-Wranglers-
133835Admirals-Comets-
136858Comets-Moose-
Trade Deadline --- Trades can’t be done after this day is simulated!
137860Barracuda-Comets-
139876Comets-Icehogs-
140885Comets-Condors-
141889Roadrunners-Comets-
145912Rockets-Comets-
147921Comets-Checkers-
149937Moose-Comets-
150945Comets-Rockets-
154963Punishers-Comets-
155971Comets-Wolfpack-
156976Comets-Griffins-
159990Comets-Firebirds-
160993Comets-Crunch-
1611001Firebirds-Comets-
1631016Comets-Firebirds-
1641018Comets-Crunch-
1671039Firebirds-Comets-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price7040
Attendance54,06826,436
Attendance PCT93.22%91.16%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
11 2776 - 92.53% 175,321$5,084,310$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
1,959,731$ 4,290,000$ 4,290,000$ 800,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
24,822$ 1,390,921$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
1,928,531$ 50 30,118$ 1,505,900$




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