Comets

GP: 4 | W: 4 | L: 0 | OTL: 0 | P: 8
GF: 26 | GA: 13 | PP%: 40.00% | PK%: 81.25%
GM : Stéphane Lacasse | Morale : 50 | Team Overall : 64

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PriorityTypeDescription
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2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
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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
# 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
1Luke Evangelista0X100.006236927173858972707168657362637450680
2Jesper Fast0X100.007235947176838966586861756481742950680
3Marco Rossi0X100.006038797268918973757069667463678550680
4Philip Tomasino0XXX100.006337847170878570697267626863648150670
5Dillon Dube0XX100.007337866769858365647066696768706650670
6Lukas Reichel0XX100.006336937168848966706963677162688350660
7Klim Kostin0XXX100.008466696793768266636265616765667550650
8Will Cuylle0X100.008463746785878964596065616662646850650
9Alex Turcotte0X100.006037856669777665716360626664658750620
10Zack Bolduc0X100.006237876572837364676163606561648350620
11William Dufour0X100.007240785985868357555658595463645650610
12Jean-Luc Foudy0X100.005838786468777563676159606364656650610
13Jackson Cates0X100.006337935772808558635960565867693750610
14Tyler Benson0X100.006338876072767859656357586266687350610
15Marcus Bjork0X100.007740786589838464306760626567693750670
16Jacob Bernard-Docker0X100.006841846772838564306660745164667850670
17Brad Hunt0X100.005937856766898765306963625376782150660
18Jacob Moverare0X100.007239866385758358306159645066685850650
19Ryan Shea0X100.006938876380788358306059654967695050650
20Roland McKeown0X100.006639755976798556305855614768705950630
21Brogan Rafferty0X100.006438886273758559306555574869713650620
Scratches
1Jacob Gaucher0X100.007139905880757057605556595463656250590
2Tyler Boucher (R)0X100.006948615878796357555656535761638650580
3Carson Lambos (R)0X100.006841726077667259305654584561638050600
4Frederic Brunet (R)0X100.007238865881646856306052574661635850600
5Ryan O'Rourke0X100.006139815670648655305452534562647550580
6Kim Nousiainen0X100.006336895663617655305451524564665850570
TEAM AVERAGE100.00674083647579816250626061586567645063
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 SP
1Nikita Tolopilo100.00777672987675777675777664714350750
2Brandon Halverson100.00727367887170727170727168815750710
Scratches
TEAM AVERAGE100.0075757093747375747375746676505073
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Derek Lalonde85828887787372USA5231,000,000$


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
1Lukas ReichelComets (New)C/LW48412200131033132524.24%69323.33336111400001311100.00%500012.5700000310
2Brad HuntComets (New)D4347-18053134823.08%17218.00213101300000100.00%000001.9400000010
3Luke EvangelistaComets (New)RW4347400433310169.09%06516.30022511000001071.43%700012.1500000101
4Dillon DubeComets (New)C/LW443746014102971313.79%07619.222028110000111057.50%8000001.8200000012
5Alex TurcotteComets (New)C442624074194821.05%24010.0800000000000071.05%3800002.9800000010
6William DufourComets (New)RW41010604160616.67%0205.000000000000000.00%000001.0000000000
7Jacob MoverareComets (New)D4011140720130.00%04010.160000000001000.00%000000.4900000000
8Zack BolducComets (New)C4011000036340.00%0205.020000000000000.00%100001.0000000000
9Brogan RaffertyComets (New)D4000140431130.00%0379.390000000000000.00%000000.0000000000
Team Total or Average36231942133205839140438616.43%946612.95761334500000264163.36%13100021.8000000443
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
Team Total or Average0.0000.0000.000


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 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 TurcotteC242001-02-26No185 Lbs5 ft11NoNoNo1RFAPro & Farm900,000$0$0$NoLink / NHL Link
Brad HuntD361988-08-24No177 Lbs5 ft9NoNoNo1UFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Brandon HalversonG291996-03-29No210 Lbs6 ft4NoNoNo3UFAPro & Farm500,000$0$0$NoLink / NHL Link
Brogan RaffertyD291995-05-28No195 Lbs6 ft0NoNoNo2UFAPro & Farm300,000$0$0$NoLink / NHL Link
Carson LambosD222003-01-14Yes197 Lbs6 ft1NoNoNo4ELCPro & Farm900,000$0$0$NoNHL Link
Dillon DubeC/LW261998-07-20No185 Lbs5 ft11NoNoNo2RFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Frederic BrunetD212003-08-21Yes186 Lbs6 ft3NoNoNo4ELCPro & Farm500,000$0$0$NoNHL Link
Jackson CatesC271997-09-26No190 Lbs6 ft0NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Jacob Bernard-DockerD242000-06-30No190 Lbs6 ft0NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Jacob GaucherC242001-03-09No185 Lbs6 ft3NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Jacob MoverareD261998-08-31No210 Lbs6 ft3NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Jean-Luc FoudyC222002-05-13No177 Lbs5 ft11NoNoNo2ELCPro & Farm500,000$0$0$NoLink / NHL Link
Jesper FastRW331991-12-02No191 Lbs6 ft1NoNoNo1UFAPro & Farm1,750,000$0$0$NoLink / NHL Link
Kim NousiainenD242000-11-14No170 Lbs5 ft9NoNoNo3RFAPro & Farm500,000$0$0$NoLink / NHL Link
Klim KostinC/LW/RW251999-05-05No232 Lbs6 ft4NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Lukas ReichelC/LW222002-05-17No170 Lbs6 ft0NoNoNo2ELCPro & Farm900,000$0$0$NoLink / NHL Link
Luke EvangelistaRW232002-02-21No183 Lbs6 ft0NoNoNo3RFAPro & Farm500,000$0$0$NoLink / NHL Link
Marco RossiC232001-09-23No182 Lbs5 ft9NoNoNo2RFAPro & Farm900,000$0$0$NoLink / NHL Link
Marcus BjorkD271997-11-24No211 Lbs6 ft4NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Nikita TolopiloG252000-04-06No229 Lbs6 ft6NoNoNo2RFAPro & Farm750,000$0$0$NoLink / NHL Link
Philip TomasinoC/LW/RW232001-07-28No179 Lbs6 ft0NoNoNo2RFAPro & Farm900,000$0$0$NoLink / NHL Link
Roland McKeownD291996-01-20No195 Lbs6 ft1NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Ryan O'RourkeD222002-05-16No178 Lbs6 ft0NoNoNo3ELCPro & Farm500,000$0$0$NoLink / NHL Link
Ryan SheaD281997-02-11No200 Lbs6 ft2NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Tyler BensonLW271998-03-15No190 Lbs6 ft0NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Tyler BoucherRW222003-01-16Yes205 Lbs6 ft1NoNoNo4ELCPro & Farm500,000$0$0$NoNHL Link
Will CuylleLW232002-02-05No210 Lbs6 ft3NoNoNo3RFAPro & Farm500,000$0$0$NoLink / NHL Link
William DufourRW232002-01-28No215 Lbs6 ft2NoNoNo3RFAPro & Farm500,000$0$0$NoLink / NHL Link
Zack BolducC222003-02-24No187 Lbs6 ft0NoNoNo4ELCPro & Farm900,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2925.21194 Lbs6 ft12.28620,690$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Lukas Reichel40122
2Dillon DubeLuke Evangelista30122
3Alex Turcotte20122
4Zack BolducWilliam Dufour10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
141122
2Brad Hunt34122
3Brogan RaffertyJacob Moverare24122
4Jacob Moverare1122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Lukas Reichel60122
2Dillon DubeLuke Evangelista40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Brad Hunt60122
240122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Lukas Reichel60122
2Dillon Dube40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Jacob Moverare40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
240122Jacob Moverare40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Lukas Reichel60122
2Dillon DubeLuke Evangelista40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Brad Hunt40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Lukas ReichelJacob Moverare
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Jacob Moverare
Extra Forwards
Normal PowerPlayPenalty Kill
, Dillon Dube, Lukas ReichelLukas Reichel, Dillon Dube
Extra Defensemen
Normal PowerPlayPenalty Kill
Brad Hunt, , Brad Hunt,
Penalty Shots
, , Lukas Reichel, Dillon Dube, Luke Evangelista
Goalie
#1 : , #2 :
Custom OT Lines Forwards
, , , , Lukas Reichel, , , , William Dufour, ,
Custom OT Lines Defensemen
, Jacob Moverare, , ,


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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
48W42643691838716387600
All Games
GPWLOTWOTL SOWSOLGFGA
44000002613
Home Games
GPWLOTWOTL SOWSOLGFGA
2200000126
Visitor Games
GPWLOTWOTL SOWSOLGFGA
2200000147
Last 10 Games
WLOTWOTL SOWSOL
400000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
20840.00%16381.25%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
655662013940
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
6512950.39%458254.88%487960.76%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
1189178234322


Last Played Games
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
1 - 2025-04-193Comets7Gulls2WBoxScore
3 - 2025-04-2111Comets7Gulls5WBoxScore
5 - 2025-04-2319Gulls2Comets4WBoxScore
7 - 2025-04-2527Gulls4Comets8WBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance3,9231,980
Attendance PCT98.08%99.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
34 2952 - 98.38% 73,482$146,964$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 180,000$ 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$ 5 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
1282491605354298137161412580033214955944124805022149826712529853283001801158786233108197327641645469131818165006713.40%5806888.28%61588257461.69%1352231358.45%688115959.36%232116861684561974518
1376471604162249114135382110031211196158382660104113053771172494316800130996872202807016416661543431115314344457617.08%4735388.79%11478236262.57%1297211761.27%644101863.26%212915311573526907489
1376243904333204244-4038141602213102113-1138102302120102131-2968204348552040836450204906586766911913563105516444646313.58%4337881.99%51168238349.01%1069210150.88%563111350.58%187513211829548897444
1476342301312319013258381811010621016437381612003618968211001903265160130695157188106096116231696507108713483565314.89%4124589.08%21380235758.55%1251219856.92%59199959.16%203514511686531923481
1476234502213186234-483815220000193111-18388230221293123-305718633952508068585719710586661703191853894613953415114.96%4017581.30%21255232254.05%1082214250.51%601111054.14%191313601761534915459
158248220135328015013041251101040135706541231100313145806511428049777711601078186253908448508251743501110614744446815.32%4555089.01%41692273961.77%1377237258.05%708113562.38%233517101678562957511
158245200245623118051412390132311590254122110113311690261142314226531150728270224407477187611930569100115294207317.38%4275786.65%21547256660.29%1334240155.56%673113459.35%219515671804571985519
1682551802304302166136412780120315081694128100110115285671213025538550801041148224450736807884180551097215024619420.39%4125387.14%11477260456.72%1149234549.00%650118654.81%229617191733532918484
1682422802532275195804122160021013293394120120232214310241101275493768114097957824550818807811186350587714024807916.46%3765385.90%31616271959.43%1298216260.04%712121058.84%225916641749545946498
177239240115225114910236201201111125745136191200041126755193251451702010086847522670698750800163042479413083696216.80%3365483.93%31321222559.37%1063200053.15%566102055.49%205815371484454813438
17723424024622291626736151102341112803236191300121117823590229418647010086736219850654642667157447378012583607019.44%3384686.39%81383221462.47%1074182458.88%635103361.47%206115191451466853465
1872411805512260170903620904210133844936219013021278641101260471731270117845322540789748703159442781413043867519.43%3204885.00%11337229058.38%1089195755.65%619107257.74%208015601451454821442
Total Regular Season9304812930313752362955203392246524514301619251714669764904652361500151827191489105743212012955528182365136011039418282644908659864388982085459171190317414502683116.53%496368086.30%38172422935558.74%144352593255.66%76501318958.00%2556118630198886289109155755
Playoff
1112750000033267743000001813553200000151321433619401013127283076909630868262278991515.15%971089.69%118539147.31%21341051.95%10018354.64%3022052999615175
12151050000034241086200000191277430000015123203463970301261236809411613327984281351121108.26%1221190.98%326854049.63%23148247.93%8320839.90%406276375128203101
131165000002526-1642000001613352300000913-41225426700010212254082788922358176230841011.90%771087.01%020936856.79%19133557.01%8416650.60%2821922558614069
142316700000513219117400000221931293000002913163251891400601515146980150176189622166380503147149.52%1691392.31%053097754.25%45489150.95%18636251.38%749524661210356183
151147000002231-9624000001118-7523000001113-282242640107103284080901032565915121751611.76%661084.85%021935362.04%21533065.15%9115558.71%2942082507913368
1523131000000504641055000002224-2138500000282262650941440202316851501781581565211433524511312216.79%1452384.14%236472550.21%35471749.37%18233454.49%572383559177297150
162014600000473512107300000201551073000002720728478913615017181048901671681324591332673201031211.65%1131289.38%133162652.88%34064452.80%13727350.18%508353487156256128
1862400000916-73210000055030300000411-74914230006111290444336142407210628310.71%27485.19%08818747.06%8018643.01%398048.75%14297153477435
19440000002613132200000012662200000014778264369001394018365566208716387620840.00%16381.25%06512950.39%458254.88%487960.76%1189178234322
Total Playoff125764900000297249486339240000014512520623725000001521242815229753783411813112846732036592798193428977671979253278410012.76%8329688.46%72259429652.58%2123407752.07%950184051.63%33762333312210061655835