Comets

GP: 3 | W: 1 | L: 2 | OTL: 0 | P: 2
GF: 5 | GA: 9 | PP%: 7.69% | PK%: 82.35%
GM : Stéphane Lacasse | Morale : 50 | Team Overall : 63
Next Games #27 vs Islanders

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# Player Name #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Alex Chiasson0X100.007540886388848264656268616678754550660
2Philip Tomasino0XXX99.006138927370868769717264596762648150660
3Yegor Chinakhov0X100.006737927078837869626867637062648250660
4Luke Evangelista0X100.006036906971867368606966646762637450650
5Lukas Reichel0X99.005836957068858767706864626961638350650
6Will Cuylle0X100.007643726286857361625861606461636850620
7William Dufour0X100.007140776383787259636058626461634950620
8Tyler Benson0X100.006838816272767764636159606465677450620
9Jackson Cates0X100.006136955972778257735859615666684250610
10Marcus Bjork0X99.007740756589847466306761625266684250660
11Jacob Moverare0X100.007240876285828159306258674965675850660
12Brogan Rafferty0X100.006439826173758658306655594868703650630
13Roland McKeown0X100.006539755976808457306058624967696150630
14Ryan Shea0X100.006439865873698557306154564766685650610
15Max Gildon0X100.007341755582707254305753564664666550600
Scratches
1JJ Peterka0X32.285534897372838868586662566560627750640
2Marco Rossi0X95.025738757068888568756659606663648650640
3Jean-Luc Foudy0X100.005838826668808263726458606461636650620
4Alex Turcotte0X79.136038806469767262665859606562648850600
5Jachym Kondelik0X100.008942835698716653615554625264665950600
6Isak Rosen0X100.006235946062837158636159546360628650590
7Brad Hunt0X100.005636916769818368307262595475772350650
8Jacob Bernard-Docker0X80.876339836372828362306058614963658050630
9Ryan O'Rourke0X100.006137925370647252305450514561637550560
10Kim Nousiainen0X100.006336955463626753305552504563655950550
TEAM AVERAGE95.32653885637579786151625959586466655062
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# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Connor Ingram96.00798581807877797877797865756050760
2Remi Poirier100.00725960827170727170727162674950680
Scratches
1Beck Warm100.00605556705958605958605964714350600
TEAM AVERAGE98.6770666677696870696870696471515068
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Derek Lalonde75767972767174USA5141,000,000$


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name Team NamePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Alex ChiassonComets (New)RW311200074101310.00%13511.940001100000000.00%100001.1200000000
2Philip TomasinoComets (New)C/LW/RW3112-1002993111.11%16321.011012100000190057.14%9100000.6300000000
3Jacob Bernard-DockerComets (New)D3022200420000.00%43612.030000100004000.00%000001.1100000100
4Tyler BensonComets (New)LW31120206311209.09%03712.37000010000200100.00%300001.0800000010
5Brogan RaffertyComets (New)D3011020512000.00%16622.09011110000014000.00%000000.3000000000
6JJ PeterkaComets (New)RW3101-2207730233.33%13812.98000010000000040.00%500000.5100000000
7Luke EvangelistaComets (New)RW3011020334440.00%03913.2501111000000000.00%000000.5000000000
8Yegor ChinakhovComets (New)RW31010004472414.29%04214.10000112000001033.33%300000.4700000001
9Marcus BjorkComets (New)D3000-3605102010.00%27525.18000113000012000.00%000000.0000000000
10Will CuylleComets (New)LW3000000504020.00%33010.270000000021100100.00%100000.0000000000
11William DufourComets (New)RW3000000122100.00%1196.50000000000000100.00%200000.0000000000
12Jacob MoverareComets (New)D3000-360021210.00%46521.79000113000011000.00%000000.0000000000
13Max GildonComets (New)D3000-220300010.00%2237.680000000003000.00%000000.0000000000
14Roland McKeownComets (New)D3000060335020.00%36120.50000110000012000.00%000000.0000000000
15Ryan SheaComets (New)D30002155320010.00%1299.920000100001000.00%000000.0000000000
16Jackson CatesComets (New)C3000000100030.00%0237.8200000000020053.85%2600000.0000000000
17Lukas ReichelComets (New)LW3000-240466030.00%07123.760002130000150057.14%700000.0000000000
18Marco RossiComets (New)C2000-200433130.00%03718.50000111000020050.00%4000000.0000000000
Team Total or Average535712-1147567616916317.25%2479615.031231212300021171055.31%17900000.3000000111
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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
1Connor IngramComets (New)31200.8923.00180009830000.000030000
Team Total or Average31200.8923.00180009830000.000030000


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1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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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.
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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 Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Alex ChiassonRW331990-10-01No208 Lbs6 ft4NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Alex Turcotte (Out of Payroll)C232001-02-26No185 Lbs5 ft11NoNoNo2RFAPro & Farm900,000$0$0$YesLink / NHL Link
Beck WarmG251999-04-22No173 Lbs6 ft0NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Brad HuntD351988-08-24No177 Lbs5 ft9NoNoNo2UFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Brogan RaffertyD281995-05-28No195 Lbs6 ft0NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Connor IngramG271997-03-31No196 Lbs6 ft2NoNoNo1RFAPro & Farm750,000$0$0$NoLink / NHL Link
Isak RosenLW212003-03-15No156 Lbs5 ft10NoNoNo4ELCPro & Farm900,000$0$0$NoLink / NHL Link
JJ Peterka (Out of Payroll)RW222002-01-14No189 Lbs6 ft0NoNoNo4ELCPro & Farm900,000$0$0$YesLink / NHL Link
Jachym KondelikC241999-12-21No226 Lbs6 ft6NoNoNo4RFAPro & Farm500,000$0$0$NoLink / NHL Link
Jackson CatesC261997-09-26No190 Lbs6 ft0NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Jacob Bernard-Docker (Out of Payroll)D232000-06-30No190 Lbs6 ft0NoNoNo3RFAPro & Farm500,000$0$0$YesLink / NHL Link
Jacob MoverareD251998-08-31No210 Lbs6 ft3NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Jean-Luc FoudyC212002-05-13No177 Lbs5 ft11NoNoNo3ELCPro & Farm500,000$0$0$NoLink / NHL Link
Kim NousiainenD232000-11-14No170 Lbs5 ft9NoNoNo4RFAPro & Farm500,000$0$0$NoLink / NHL Link
Lukas ReichelLW212002-05-17No170 Lbs6 ft0NoNoNo3ELCPro & Farm900,000$0$0$NoLink / NHL Link
Luke EvangelistaRW222002-02-21No183 Lbs6 ft0NoNoNo4ELCPro & Farm500,000$0$0$NoLink / NHL Link
Marco Rossi (Out of Payroll)C222001-09-23No182 Lbs5 ft9NoNoNo3ELCPro & Farm900,000$0$0$NoLink / NHL Link
Marcus BjorkD261997-11-24No211 Lbs6 ft4NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Max GildonD241999-05-17No194 Lbs6 ft3NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Philip TomasinoC/LW/RW222001-07-28No179 Lbs6 ft0NoNoNo3ELCPro & Farm900,000$0$0$NoLink / NHL Link
Remi PoirierG222001-10-06No210 Lbs6 ft2NoNoNo4ELCPro & Farm300,000$0$0$NoLink / NHL Link
Roland McKeownD281996-01-20No195 Lbs6 ft1NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Ryan O'RourkeD212002-05-16No178 Lbs6 ft0NoNoNo4ELCPro & Farm500,000$0$0$NoLink / NHL Link
Ryan SheaD271997-02-11No177 Lbs6 ft1NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Tyler BensonLW261998-03-15No190 Lbs6 ft0NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Will CuylleLW222002-02-05No211 Lbs6 ft3NoNoNo4ELCPro & Farm500,000$0$0$NoLink / NHL Link
William DufourRW222002-01-28No215 Lbs6 ft2NoNoNo4ELCPro & Farm500,000$0$0$NoLink / NHL Link
Yegor ChinakhovRW232001-02-01No204 Lbs6 ft1NoNoNo3RFAPro & Farm900,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2824.43191 Lbs6 ft12.82562,500$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Lukas Reichel40122
2Luke EvangelistaPhilip TomasinoYegor Chinakhov30122
3Tyler BensonAlex Chiasson20122
4Will CuylleJackson CatesWilliam Dufour10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Marcus BjorkJacob Moverare41122
2Brogan RaffertyRoland McKeown34122
3Ryan Shea24122
4Max GildonMarcus Bjork1122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Lukas ReichelYegor Chinakhov60122
2Luke EvangelistaPhilip Tomasino40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Marcus BjorkJacob Moverare60122
2Brogan RaffertyRoland McKeown40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Philip TomasinoLukas Reichel60122
2Will Cuylle40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Marcus BjorkJacob Moverare60122
2Brogan RaffertyRoland McKeown40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Philip Tomasino60122Marcus BjorkJacob Moverare60122
240122Brogan RaffertyRoland McKeown40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Philip TomasinoLukas Reichel60122
2Will Cuylle40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Marcus BjorkJacob Moverare60122
2Brogan RaffertyRoland McKeown40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Lukas ReichelPhilip TomasinoMarcus BjorkJacob Moverare
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Lukas ReichelPhilip TomasinoYegor ChinakhovMarcus BjorkJacob Moverare
Extra Forwards
Normal PowerPlayPenalty Kill
Lukas Reichel, , Lukas Reichel, Lukas Reichel
Extra Defensemen
Normal PowerPlayPenalty Kill
, Ryan Shea, Max Gildon, Ryan Shea
Penalty Shots
Philip Tomasino, Alex Chiasson, Yegor Chinakhov, Luke Evangelista, Lukas Reichel
Goalie
#1 : Connor Ingram, #2 : Remi Poirier


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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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
32L25813698324476700
All Games
GPWLOTWOTL SOWSOLGFGA
312000059
Home Games
GPWLOTWOTL SOWSOLGFGA
211000034
Visitor Games
GPWLOTWOTL SOWSOLGFGA
101000025
Last 10 Games
WLOTWOTL SOWSOL
120000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1317.69%17382.35%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
27281403110
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
409343.01%5010846.30%244257.14%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
684674233718


Last Played Games
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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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
1 - 2024-04-203Islanders1Comets2WBoxScore
3 - 2024-04-2211Islanders3Comets1LBoxScore
5 - 2024-04-2419Comets2Islanders5LBoxScore
7 - 2024-04-2627Comets-Islanders-
9 - 2024-04-2835Islanders-Comets-
11 - 2024-04-3043Comets-Islanders-
13 - 2024-05-0251Islanders-Comets-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance3,9981,969
Attendance PCT99.95%98.45%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
34 2984 - 99.45% 74,565$149,129$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 134,500$ 0$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 9 0$ 0$




OverallHomeVisitor
Year GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
183120000059-42110000034-11010000025-325813003110692728140832447671317.69%17382.35%0409343.01%5010846.30%244257.14%684674233718
Total Playoff3120000059-42110000034-11010000025-325813003110692728140832447671317.69%17382.35%0409343.01%5010846.30%244257.14%684674233718