Comets

GP: 6 | W: 4 | L: 2 | OTL: 0 | P: 8
GF: 24 | GA: 21 | PP%: 17.65% | PK%: 86.67%
GM : Mathieu Turcotte | Morale : 75 | Team Overall : 62

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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
1Quinton Byfield (R)0X100.00784479729383827176706769716265075680
2Wyatt Johnston (R)0X100.00553593767486757473677259775962075670
3Aliaksei Protas (R)0X100.00814095649779876471676062656264075660
4Nathan Bastian (R)0X100.00897874678780816457616570636667075660
5Brendan Perlini0XX100.00774182658685726459586662656769075650
6Jakob Pelletier (R)0X100.00623788676388836660676862696263075650
7Cole Guttman (R)0X100.00613783686388696682676862666465075640
8Matthew Phillips (R)0XX100.00573393656089856674646559636567075640
9Jiri Kulich (R)0X100.00563691696691716763616664675961075640
10JJ Peterka (R)0X100.00553489737283886858666256656062075640
11Evgeny Svechnikov (R)0X100.00743785658577856659626356666768075640
12Simon Holmstrom (R)0X100.00683895658179856459606265666263075640
13Isaac Ratcliffe (R)0X100.00804468619277815960655762586466075630
14Justin Bailey0X100.00764179618988795954586067596870075630
15Matt Irwin0X100.00814883648081746130635769497776075650
16Jordan Gross0X100.00593879676888846530636661546870075640
17Kevin Gravel0X100.00753993598781855730615869497173075640
18Tyler Tucker (R)0X100.00724761627882866330655962506365075630
19Jason Demers (R)0X100.00844263607674705730595862498077075620
Scratches
1Gemel Smith0X100.00727154627184736463656061626971075630
2Samuel Dove-McFalls (R)0X100.00734272538268645257545356536668075580
3Alexander Pashin (R)0X100.00593592546075685357545551546163075570
4Graham Slaggert (R)0X100.00603693536974715158525451536466075570
5Philip Broberg (R)0X74.77703792668379806530645963506264075640
6Matt Tennyson0X100.00724273578166855630585359477375075610
7Nicolas Beaudin (R)0X100.00573871636668806230645256486466075600
8Jeremy Groleau (R)0X100.00733989568268775430555357466466075590
9Mitchell Vande Sompel (R)0X100.00633982577265795630595455476668075590
10Corson Ceulemans (R)0X100.00714084558065615230535456456062075580
11Jack Thompson (R)0X100.00613792567076725330565558476163075580
12Thomas Miller (R)0X100.00683795547765665330555056456466075580
TEAM AVERAGE99.1969418362777877614961606157656707562
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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
1Antoine Bibeau100.0068616284676668676668676983075620
2Pat Nagle100.0066585974656466656466657690075610
Scratches
1Kevin Poulin91.7670646582696870696870697387075630
2Dennis Hildeby (R)100.0057555691565557565557566267075560
TEAM AVERAGE97.946560618364636564636564708207561
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Alain Nasreddine65697369726778CAN481660,000$


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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")
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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
1Wyatt JohnstonComets (VAN)C6461040011128151414.29%013422.371237160001181051.03%14500001.4900000101
2Quinton ByfieldComets (VAN)C6527-10017173391915.15%214123.580005110001170052.63%17100000.9900000200
3Jakob PelletierComets (VAN)LW64260001112331217.39%312020.06000214000012033.33%1200001.0000000000
4Nathan BastianComets (VAN)RW624614022121691712.50%212721.24000314000070031.25%1600000.9400000011
5Matt IrwinComets (VAN)D605530023125490.00%1514824.74000316000014000.00%000000.6700000110
6Kevin GravelComets (VAN)D614522011863416.67%1114323.96000116000013000.00%000100.7000000000
7Simon HolmstromComets (VAN)RW6235440371351315.38%111118.55112316000000036.36%1100000.9000000000
8Brendan PerliniComets (VAN)LW/RW631454022111141427.27%211318.90101212000010056.67%3000000.7100000010
9Jordan GrossComets (VAN)D60440008582100.00%413222.09022015000014000.00%000000.6000000000
10Tyler TuckerComets (VAN)D60330602143250.00%69816.390000400001000.00%000000.6100000001
11Cole GuttmanComets (VAN)C6022200000000.00%081.46000000000000100.00%100004.5500000000
12Matthew PhillipsComets (VAN)C/RW61123000161116.67%2315.3000000000001046.43%2800001.2600000010
13JJ PeterkaComets (VAN)RW6112-220514198175.26%110116.9501124000000050.00%400000.3900000000
14Aliaksei ProtasComets (VAN)C6101-50051712538.33%19315.5200013000080047.17%10600000.2100000000
15Jiri KulichComets (VAN)RW5011-1001513150.00%57214.490000000000000.00%000000.2800000000
16Evgeny SvechnikovComets (VAN)RW6011-4608816340.00%17913.1800000000000066.67%600000.2500000000
17Philip BrobergComets (VAN)D60110001198140.00%910517.65000310000013000.00%000000.1900000000
18Justin BaileyComets (VAN)RW6000000000000.00%020.490000000002000.00%100000.0000000000
19Gemel SmithComets (VAN)C6000000000000.00%010.310000000000000.00%000000.0000000000
Team Total or Average113244165112801591522207515110.91%65176915.663693215800021154049.72%53100100.7300000443
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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
1Kevin PoulinComets (VAN)63200.8893.6428020171530000.000060000
2Antoine BibeauComets (VAN)21000.8823.0479204340000.000006000
Team Total or Average84200.8883.5036040211870000.000066000


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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
Alexander PashinRW217/28/2002Yes154 Lbs5 ft8NoNoNo3ELCPro & Farm950,000$0$0$NoLink / NHL Link
Aliaksei ProtasC221/6/2001Yes225 Lbs6 ft6NoNoNo1ELCPro & Farm925,000$0$0$NoLink / NHL Link
Antoine BibeauG295/1/1994No205 Lbs6 ft3NoNoNo2UFAPro & Farm800,000$0$0$NoLink / NHL Link
Brendan PerliniLW/RW274/27/1996No211 Lbs6 ft3NoNoNo3RFAPro & Farm800,000$0$0$NoLink / NHL Link
Cole GuttmanC244/6/1999Yes167 Lbs5 ft9NoNoNo3RFAPro & Farm950,000$0$0$NoLink / NHL Link
Corson CeulemansD205/5/2003Yes198 Lbs6 ft2NoNoNo3ELCPro & Farm950,000$0$0$NoLink / NHL Link
Dennis HildebyG228/19/2001Yes209 Lbs6 ft5NoNoNo3ELCPro & Farm950,000$0$0$NoNHL Link
Evgeny SvechnikovRW2710/31/1996Yes208 Lbs6 ft3NoNoNo3RFAPro & Farm800,000$0$0$NoLink / NHL Link
Gemel SmithC294/16/1994No203 Lbs5 ft10NoNoNo1UFAPro & Farm800,000$0$0$NoLink / NHL Link
Graham SlaggertC244/6/1999Yes183 Lbs5 ft11NoNoNo3RFAPro & Farm950,000$0$0$NoNHL Link
Isaac RatcliffeLW242/15/1999Yes200 Lbs6 ft6NoNoNo3RFAPro & Farm800,000$0$0$NoLink / NHL Link
JJ PeterkaRW211/14/2002Yes189 Lbs6 ft0NoNoNo2ELCPro & Farm950,000$0$0$NoLink / NHL Link
Jack ThompsonD214/19/2002Yes178 Lbs6 ft0NoNoNo3ELCPro & Farm950,000$0$0$NoNHL Link
Jakob PelletierLW223/7/2001Yes170 Lbs5 ft9NoNoNo2ELCPro & Farm950,000$0$0$NoLink / NHL Link
Jason DemersD356/9/1988Yes195 Lbs6 ft1NoNoNo3UFAPro & Farm950,000$0$0$NoLink / NHL Link
Jeremy GroleauD2410/25/1999Yes193 Lbs6 ft3NoNoNo3RFAPro & Farm800,000$0$0$NoLink / NHL Link
Jiri KulichRW194/14/2004Yes172 Lbs5 ft10NoNoNo3ELCPro & Farm950,000$0$0$NoNHL Link
Jordan GrossD285/9/1995No190 Lbs5 ft10NoNoNo3UFAPro & Farm836,000$0$0$NoLink / NHL Link
Justin BaileyRW287/1/1995No214 Lbs6 ft4NoNoNo1UFAPro & Farm950,000$0$0$NoLink / NHL Link
Kevin GravelD313/6/1992No205 Lbs6 ft4NoNoNo3UFAPro & Farm999,999$0$0$NoLink / NHL Link
Kevin PoulinG334/12/1990No206 Lbs6 ft2NoNoNo2UFAPro & Farm800,000$0$0$NoLink / NHL Link
Matt IrwinD3611/29/1987No200 Lbs6 ft2NoNoNo3UFAPro & Farm999,999$0$0$NoLink / NHL Link
Matt TennysonD334/23/1990No205 Lbs6 ft2NoNoNo2UFAPro & Farm999,000$0$0$NoLink / NHL Link
Matthew PhillipsC/RW254/6/1998Yes140 Lbs5 ft7NoNoNo1RFAPro & Farm900,000$0$0$NoLink / NHL Link
Mitchell Vande SompelD262/11/1997Yes198 Lbs5 ft11NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Nathan BastianRW2612/6/1997Yes205 Lbs6 ft4NoNoNo2RFAPro & Farm850,000$0$0$NoLink / NHL Link
Nicolas BeaudinD2410/7/1999Yes168 Lbs5 ft11NoNoNo3RFAPro & Farm825,000$0$0$NoLink / NHL Link
Pat NagleG369/21/1987No169 Lbs6 ft2NoNoNo3UFAPro & Farm800,000$0$0$NoLink / NHL Link
Philip Broberg (Out of Payroll)D226/25/2001Yes199 Lbs6 ft3NoNoNo2ELCPro & Farm950,000$0$0$YesLink / NHL Link
Quinton ByfieldC218/19/2002Yes220 Lbs6 ft5NoNoNo1ELCPro & Farm925,000$0$0$NoLink / NHL Link
Samuel Dove-McFallsC264/10/1997Yes207 Lbs6 ft2NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Simon HolmstromRW225/24/2001Yes205 Lbs6 ft2NoNoNo3ELCPro & Farm980,000$0$0$NoLink / NHL Link
Thomas MillerD243/6/1999Yes181 Lbs6 ft2NoNoNo3RFAPro & Farm950,000$0$0$NoNHL Link
Tyler TuckerD233/1/2000Yes204 Lbs6 ft1NoNoNo1ELCPro & Farm925,000$0$0$NoLink / NHL Link
Wyatt JohnstonC205/14/2003Yes185 Lbs6 ft1NoNoNo3ELCPro & Farm950,000$0$0$NoNHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3525.57193 Lbs6 ft12.37906,857$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jakob PelletierQuinton ByfieldNathan Bastian40122
2Brendan PerliniWyatt JohnstonSimon Holmstrom30122
3JJ PeterkaAliaksei ProtasEvgeny Svechnikov20122
4Quinton ByfieldMatthew PhillipsJJ Peterka10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt IrwinKevin Gravel40122
2Jordan Gross30122
3Tyler TuckerJiri Kulich20122
4Matt IrwinKevin Gravel10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jakob PelletierQuinton ByfieldNathan Bastian60122
2Brendan PerliniWyatt JohnstonSimon Holmstrom40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt IrwinKevin Gravel60122
2Jordan Gross40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Quinton ByfieldWyatt Johnston60122
2Nathan BastianAliaksei Protas40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt IrwinKevin Gravel60122
2Jordan Gross40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Quinton Byfield60122Matt IrwinKevin Gravel60122
2Wyatt Johnston40122Jordan Gross40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Quinton ByfieldWyatt Johnston60122
2Nathan BastianAliaksei Protas40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Matt IrwinKevin Gravel60122
2Jordan Gross40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Jakob PelletierQuinton ByfieldNathan BastianMatt IrwinKevin Gravel
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Jakob PelletierQuinton ByfieldNathan BastianMatt IrwinKevin Gravel
Extra Forwards
Normal PowerPlayPenalty Kill
Cole Guttman, , Justin BaileyCole Guttman, Justin Bailey
Extra Defensemen
Normal PowerPlayPenalty Kill
Tyler Tucker, Jordan Gross, Tyler TuckerJordan Gross,
Penalty Shots
Quinton Byfield, Wyatt Johnston, Nathan Bastian, Aliaksei Protas, Jakob Pelletier
Goalie
#1 : , #2 : Antoine Bibeau
Custom OT Lines Forwards
Quinton Byfield, Wyatt Johnston, Nathan Bastian, Aliaksei Protas, Jakob Pelletier, Brendan Perlini, Brendan Perlini, Simon Holmstrom, Evgeny Svechnikov, JJ Peterka, Jiri Kulich
Custom OT Lines Defensemen
Matt Irwin, Kevin Gravel, Jordan Gross, , Tyler Tucker


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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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
68W3244165220187653215900
All Games
GPWLOTWOTL SOWSOLGFGA
64200002421
Home Games
GPWLOTWOTL SOWSOLGFGA
32100001111
Visitor Games
GPWLOTWOTL SOWSOLGFGA
32100001310
Last 10 Games
WLOTWOTL SOWSOL
420000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
17317.65%15286.67%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
717277010860
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
12123252.16%9119347.15%5210649.06%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
14097142437636


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 - 2024-04-182Comets6Wolf Pack4WBoxScore
3 - 2024-04-2010Comets2Wolf Pack5LBoxScore
5 - 2024-04-2218Wolf Pack4Comets1LBoxScore
7 - 2024-04-2426Wolf Pack4Comets5WBoxScore
9 - 2024-04-2634Comets5Wolf Pack1WBoxScore
11 - 2024-04-2842Wolf Pack3Comets5WBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price2515
Attendance6,0003,000
Attendance PCT100.00%100.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
38 3000 - 100.00% 81,250$243,750$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 3,079,000$ 2,657,400$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

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




OverallHomeVisitor
Year GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Regular Season
238236360190032531213412217002001691482141141901700156164-883325576901211351018813246107010701090163206100570920122344017.09%2707472.59%01614317550.83%1529321647.54%742143751.64%1944139020045741001489
202282412903540418350684120160221019716433412113013302211863510141875211704017611711893588117712041178453311100551219952306026.09%2296870.31%31583313950.43%1468316546.38%710153446.28%1886134520565711009488
20238245310141034530045411820012001641604412711002101811404198345605950031281141013338511421118110820298284256620562666323.68%2385178.57%41643327250.21%1457293649.63%716143150.03%2038144218695701033524
Total Regular Season2461229605185010889621261236053036105304725812362430212405584906828210881933302164439332307131021933893392337681949928521787606373016322.33%73719373.81%74840958650.49%4454931747.81%2168440249.25%586941775931171530441502
Playoff
2022624000002427-3321000001512330300000915-642444680099602177771654213484014519421.05%18572.22%012124349.79%10420351.23%3910437.50%13995147458039
2023642000002421332100000111103210000013103824416500108602207172770187653215917317.65%15286.67%012123252.16%9119347.15%5210649.06%14097142437636
Total Playoff126600000484806420000026233624000002225-312488513300191712043714814314244001137230436719.44%33778.79%024247550.95%19539649.24%9121043.33%2801922898915675