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Comets
GP: 2 | W: 1 | L: 0 | OTL: 1 | P: 3
GF: 10 | GA: 10 | PP%: 21.43% | PK%: 83.33%
DG: Frederic Tremblay | Morale : 84 | Moyenne d’équipe : 64
Prochains matchs #47 vs Tuckson Roadrunners

Centre de jeu
Adirondack Phantoms
2-1-0, 4pts
5
6 Comets
1-0-1, 3pts
Team Stats
W1SéquenceSOL1
2-0-0Fiche domicile1-0-0
0-1-0Fiche domicile0-0-1
2-1-0Derniers 10 matchs1-0-1
4.00Buts par match 5.00
3.67Buts contre par match 5.00
11.11%Pourcentage en avantage numérique21.43%
75.00%Pourcentage en désavantage numérique83.33%
Comets
1-0-1, 3pts
4
5 Les Hammers d'Hamilton
1-1-0, 2pts
Team Stats
SOL1SéquenceW1
1-0-0Fiche domicile1-0-0
0-0-1Fiche domicile0-1-0
1-0-1Derniers 10 matchs1-1-0
5.00Buts par match 3.50
5.00Buts contre par match 5.00
21.43%Pourcentage en avantage numérique11.11%
83.33%Pourcentage en désavantage numérique83.33%
Tuckson Roadrunners
2-1-0, 4pts
2026-08-18
Comets
1-0-1, 3pts
Statistiques d’équipe
L1SéquenceSOL1
1-0-0Fiche domicile1-0-0
1-1-0Fiche visiteur0-0-1
2-1-010 derniers matchs1-0-1
3.00Buts par match 5.00
2.00Buts contre par match 5.00
22.22%Pourcentage en avantage numérique21.43%
100.00%Pourcentage en désavantage numérique83.33%
Canucks d'abbotsford
2-2-0, 4pts
2026-08-22
Comets
1-0-1, 3pts
Statistiques d’équipe
W1SéquenceSOL1
2-1-0Fiche domicile1-0-0
0-1-0Fiche visiteur0-0-1
2-2-010 derniers matchs1-0-1
4.25Buts par match 5.00
5.25Buts contre par match 5.00
20.00%Pourcentage en avantage numérique21.43%
94.12%Pourcentage en désavantage numérique83.33%
Belleville
1-0-0, 2pts
2026-08-24
Comets
1-0-1, 3pts
Statistiques d’équipe
W1SéquenceSOL1
0-0-0Fiche domicile1-0-0
1-0-0Fiche visiteur0-0-1
1-0-010 derniers matchs1-0-1
4.00Buts par match 5.00
2.00Buts contre par match 5.00
40.00%Pourcentage en avantage numérique21.43%
71.43%Pourcentage en désavantage numérique83.33%
Meneurs d'équipe
Buts
Alex Limoges*
3
Passes
Ben Harpur*
3
Points
Alex Limoges*
4
Plus/Moins
Austin Strand
3
Victoires
Jesper Wallstedt
1
Pourcentage d’arrêts
Jesper Wallstedt
0.842

Statistiques d’équipe
Buts pour
10
5.00 GFG
Tirs pour
82
41.00 Avg
Pourcentage en avantage numérique
21.4%
3 GF
Début de zone offensive
42.0%
Buts contre
10
5.00 GAA
Tirs contre
57
28.50 Avg
Pourcentage en désavantage numérique
83.3%%
1 GA
Début de la zone défensive
36.7%
Informations de l'équipe

Directeur généralFrederic Tremblay
EntraîneurJessica Campbell
DivisionNorth Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance2,892
Billets de saison0


Informations de la formation

Équipe Pro26
Équipe Mineure18
Limite Contrat44 / 60
Espoirs25


Astuces sur les filtres (anglais seulement)
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
# Nom du joueur #C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Rudolfs Balcers*0XX100.00803489707185866953686971666567548468N0292900,000$
2Alex Limoges*0XX100.00693793667880816473656362666970368466N0292800,000$
3Brandon Biro*0XX100.00553688636678826267636162636769378464N0281800,000$
4Chris Terry0XX100.00603980616986835867635957607779268164N0371800,000$
5Nate Danielson0X100.006738896679808264676557615962648684640222886,666$
6Andrew Agozzino0XX100.00693878606883815763596158567577238463N0351800,000$
7Clark Bishop0XX100.00683979617778875864556260597072468163N0301800,000$
8Graeme Clarke*0XX100.006039816469948463586261606365676284630251775,000$
9Ben Steeves0XX100.00615568636286856258616064636566438463N0242800,000$
10Zakhar Bardakov* (R)0XX100.006937936380708357615865566266654784630251867,500$
11Brian Halonen0X100.006940796276828459555664586267693780620272875,000$
12Shane Bowers0XX100.007140805878727756665552575467696884610271775,000$
13Seamus Casey0X100.006036916867807366306867635562647484660221950,000$
14Atro Leppanen0X100.00623883647178806330665862536870368464N0272800,000$
15Ben Harpur*0X100.00905665589968665730565363467072488463N0312800,000$
16Austin Strand0X100.00775374578668805930585456456971368462N0292800,000$
17Billy Sweezey0X100.00705269577965855530565258457072358461N0302800,000$
18Stian Solberg0X100.007041665979707556305758604861638184610202942,500$
Rayé
1Carsen Twarynski0XX100.00714078598078715855565759566870538361N0282800,000$
2Matyas Melovsky (R)0XXX100.006639825875738056615957625562644983610221800,000$
3Carson Focht0X100.006337715869737457635655545862645983590261963,000$
4Brett Budgell*0X100.006242725671626455655850545264664383580251800,000$
5Christian Felton*0X100.006536955274636451305050534566684283570261750,000$
MOYENNE D’ÉQUIPE100.00684180617576795952605860566769498362
Astuces sur les filtres (anglais seulement)
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
# Nom du gardien #CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Jesper Wallstedt0100.008283798681808281808281647180847702312,200,000$
2Matt Tomkins0100.0076847985757476757476757286308474N0322800,000$
Rayé
1Tomas Suchanek (R)0100.00677369736665676665676663694484660231800,000$
MOYENNE D’ÉQUIPE100.0075807681747375747375746675518472
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Jessica Campbell64666770505093CAN331420,000$


Astuces sur les filtres (anglais seulement)
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
# Nom du joueur Nom de l’équipePOSGP 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 Limoges*Comets (NJD)C/LW2314-1000783537.50%04924.68101311000071060.29%6800011.6201000100
2Ben Harpur*Comets (NJD)D21343207142225.00%44221.4701111000004000%000001.8600000100
3Austin StrandComets (NJD)D22243000260233.33%14221.2320241000006000%000001.8800000001
4Rudolfs Balcers*Comets (NJD)LW/RW2033-1006683100%04824.41022311000070039.13%2300001.2301000000
5Chris TerryComets (NJD)LW/RW21230002131233.33%04321.7401111100003000%400001.3801000000
6Shane BowersComets (NJD)C/RW21121002041125.00%0157.85000000000000100.00%100002.5500000000
7Zakhar Bardakov*Comets (NJD)C/LW2022100035000%0168.1300000000000044.44%1800002.4600000000
8Andrew AgozzinoComets (NJD)C/LW21012202520350.00%02412.2200000000000066.67%2700000.8200000000
9Brian HalonenComets (NJD)LW210111553120050.00%1105.070000000000000%000001.9700000000
10Clark BishopComets (NJD)C/LW2011200144040%0189.430000000000000%000001.0600000000
11Seamus CaseyComets (NJD)D2011-220436250%25226.4100051200006000%000000.3800000000
12Graeme Clarke*Comets (NJD)LW/RW2011-300313010%03316.94011211000000050.00%200000.5900000000
13Ben SteevesComets (NJD)LW/RW2011200006010%0189.43000000000000100.00%100001.0600000000
14Stian SolbergComets (NJD)D2011-220202100%22613.440000000000000%000000.7400000000
15Billy SweezeyComets (NJD)D2000-100020000%32613.180000000001000%00000000000000
16Brandon Biro*Comets (NJD)C/LW2000-300125250%13417.43000311000000050.00%20000000000000
17Atro LeppanenComets (NJD)D2000-340527220%15326.6700051200005000%00000000000000
18Nate DanielsonComets (NJD)C2000-300957550%04020.06000411000030051.11%450000001000000
Statistiques d’équipe totales ou en moyenne36101929-4275474582224812.20%1559916.65358311160000481053.93%19100010.9704000201
Astuces sur les filtres (anglais seulement)
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
# Nom du gardien Nom de l’équipeGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Jesper WallstedtComets (NJD)21010.8424.32125009570000.750420000
Statistiques d’équipe totales ou en moyenne21010.8424.3212500957000420000


Astuces sur les filtres (anglais seulement)
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
Nom du joueur Nom de l’équipePOS Âge Date de naissance Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis ParDate de la Dernière TransactionBallotage forcé Waiver Possible Contrat Date du Signature du ContratForcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Alex Limoges*Comets (NJD)C/LW291997-09-16USANo201 Lbs6 ft1YesNoFree AgentNoNo22026-08-04FalseFalseFarm Only800,000$774,054$0$0$No800,000$--------800,000$--------Yes--------Lien
Andrew AgozzinoComets (NJD)C/LW351991-01-03CANNo187 Lbs5 ft10YesNoFree AgentNoNo12026-07-31FalseFalsePro & Farm800,000$774,054$0$0$No---------------------------Lien
Atro LeppanenComets (NJD)D271998-12-14FINNo183 Lbs6 ft0YesNoFree AgentNoNo22026-08-04FalseFalsePro & Farm800,000$774,054$0$0$No800,000$--------800,000$--------Yes--------Lien
Austin StrandComets (NJD)D291997-02-17CANNo215 Lbs6 ft3YesNoFree AgentNoNo22026-07-31FalseFalsePro & Farm800,000$774,054$0$0$No800,000$--------800,000$--------Yes--------Lien
Ben Harpur*Comets (NJD)D311995-01-12CANNo231 Lbs6 ft6YesNoFree AgentNoNo22026-07-31FalseFalseFarm Only800,000$774,054$0$0$No800,000$--------800,000$--------Yes--------Lien
Ben SteevesComets (NJD)LW/RW242002-05-10USANo165 Lbs5 ft8YesNoFree AgentNoNo22026-08-04FalseFalsePro & Farm800,000$774,054$0$0$No800,000$--------800,000$--------Yes--------Lien
Billy SweezeyComets (NJD)D301996-02-06USANo206 Lbs6 ft1YesNoFree AgentNoNo22026-07-31FalseFalsePro & Farm800,000$774,054$0$0$No800,000$--------800,000$--------Yes--------Lien
Brandon Biro*Comets (NJD)C/LW281998-03-11CANNo170 Lbs5 ft11YesNoFree AgentNoNo12026-09-01FalseFalseFarm Only800,000$774,054$0$0$No---------------------------Lien
Brett Budgell*Comets (NJD)C252001-06-01CANNo185 Lbs6 ft0NoNoFree AgentNoNo12026-07-01FalseFalseFarm Only800,000$774,054$0$0$No---------------------------Lien
Brian HalonenComets (NJD)LW271999-01-11USANo207 Lbs6 ft0NoNoN/ANoNo22026-07-01FalseFalsePro & Farm875,000$846,622$0$0$No875,000$--------875,000$--------No--------Lien
Carsen TwarynskiComets (NJD)LW/RW281997-11-24CANNo198 Lbs6 ft2YesNoFree AgentNoNo22026-09-01FalseFalsePro & Farm800,000$774,054$0$0$No800,000$--------800,000$--------Yes--------Lien
Carson FochtComets (NJD)C262000-02-04CANNo180 Lbs6 ft0NoNoAssign ManuallyNoNo12026-05-26FalseFalsePro & Farm963,000$931,768$0$0$No---------------------------Lien
Chris TerryComets (NJD)LW/RW371989-04-07CANNo191 Lbs5 ft10YesNoFree AgentNoNo12026-09-01FalseFalsePro & Farm800,000$774,054$0$0$No---------------------------Lien
Christian Felton*Comets (NJD)D262000-02-04USANo185 Lbs6 ft1NoNoFree AgentNoNo12026-05-26FalseFalseFarm Only750,000$725,676$0$0$No---------------------------Lien
Clark BishopComets (NJD)C/LW301996-03-29CANNo197 Lbs6 ft1YesNoFree AgentNoNo12026-09-07FalseFalsePro & Farm800,000$774,054$0$0$No---------------------------Lien
Graeme Clarke*Comets (NJD)LW/RW252001-04-24CANNo175 Lbs6 ft0NoNoAssign ManuallyNoNo12026-05-26FalseFalseFarm Only775,000$749,865$0$0$No---------------------------Lien
Jesper WallstedtComets (NJD)G232002-11-14SWENo214 Lbs6 ft3NoNoTrade2026-06-14NoNo12024-10-08FalseFalsePro & Farm2,200,000$2,128,649$0$0$No---------------------------Lien
Matt TomkinsComets (NJD)G321994-06-19CANNo191 Lbs6 ft4YesNoFree AgentNoNo22026-08-04FalseFalsePro & Farm800,000$774,054$0$0$No800,000$--------800,000$--------Yes--------Lien
Matyas MelovskyComets (NJD)C/LW/RW222004-05-25CZEYes190 Lbs6 ft1NoNoAssign ManuallyNoNo12026-05-24FalseFalsePro & Farm800,000$774,054$0$0$No---------------------------Lien
Nate DanielsonComets (NJD)C222004-09-27CANNo195 Lbs6 ft2NoNoAssign ManuallyNoNo22025-06-02FalseFalsePro & Farm886,666$857,909$0$0$No886,666$--------886,666$--------No--------Lien
Rudolfs Balcers*Comets (NJD)LW/RW291997-04-08LVANo182 Lbs5 ft11YesNoFree AgentNoNo22026-07-20FalseFalseFarm Only900,000$870,811$0$0$No900,000$--------900,000$--------Yes--------Lien
Seamus CaseyComets (NJD)D222004-01-08USANo181 Lbs5 ft10NoNoProspectNoNo12025-03-07FalseFalsePro & Farm950,000$919,189$0$0$No---------------------------Lien
Shane BowersComets (NJD)C/RW271999-07-30CANNo186 Lbs6 ft2NoNoN/ANoNo12026-05-26FalseFalsePro & Farm775,000$749,865$0$0$No---------------------------Lien
Stian SolbergComets (NJD)D202005-12-29NORNo194 Lbs6 ft2NoNoAssign ManuallyNoNo22025-06-03FalseFalsePro & Farm942,500$911,932$0$0$No942,500$--------942,500$--------No--------Lien
Tomas SuchanekComets (NJD)G232003-04-30CZEYes180 Lbs6 ft1NoNoTrade2026-06-21NoNo12026-05-26FalseFalsePro & Farm800,000$774,054$0$0$No---------------------------Lien
Zakhar Bardakov*Comets (NJD)C/LW252001-02-24RUSYes198 Lbs6 ft2NoNoAssign ManuallyNoNo12026-05-23FalseFalsePro & Farm867,500$839,365$0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2627.00192 Lbs6 ft11.46880,179$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Rudolfs Balcers*Alex Limoges*Chris Terry32122
2Brandon Biro*Nate DanielsonGraeme Clarke*26122
3Clark BishopAndrew AgozzinoBen Steeves22122
4Brian HalonenZakhar Bardakov*Shane Bowers20122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Seamus CaseyAtro Leppanen32122
2Ben Harpur*Austin Strand26122
3Stian SolbergBilly Sweezey22122
4Seamus CaseyAtro Leppanen20122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Rudolfs Balcers*Alex Limoges*Chris Terry60122
2Brandon Biro*Nate DanielsonGraeme Clarke*40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Seamus CaseyAtro Leppanen60122
2Ben Harpur*Austin Strand40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Rudolfs Balcers*Alex Limoges*60122
2Nate DanielsonChris Terry40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Seamus CaseyAtro Leppanen60122
2Ben Harpur*Austin Strand40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Rudolfs Balcers*60122Seamus CaseyAtro Leppanen60122
2Alex Limoges*40122Ben Harpur*Austin Strand40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Rudolfs Balcers*Alex Limoges*60122
2Nate DanielsonChris Terry40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Seamus CaseyAtro Leppanen60122
2Ben Harpur*Austin Strand40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Rudolfs Balcers*Alex Limoges*Chris TerrySeamus CaseyAtro Leppanen
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Rudolfs Balcers*Alex Limoges*Chris TerrySeamus CaseyAtro Leppanen
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Andrew Agozzino, Clark Bishop, Zakhar Bardakov*Andrew Agozzino, Clark BishopZakhar Bardakov*
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Stian Solberg, Billy Sweezey, Ben Harpur*Stian SolbergBilly Sweezey, Ben Harpur*
Tirs de pénalité
Rudolfs Balcers*, Alex Limoges*, Nate Danielson, Chris Terry, Brandon Biro*
Gardien
#1 : Jesper Wallstedt, #2 : Matt Tomkins
Lignes d’attaque personnalisées en prolongation
Rudolfs Balcers*, Alex Limoges*, Nate Danielson, Chris Terry, Brandon Biro*, Andrew Agozzino, Clark Bishop, Zakhar Bardakov*, Graeme Clarke*, Ben Steeves
Lignes de défense personnalisées en prolongation
Seamus Casey, Atro Leppanen, Ben Harpur*, Austin Strand, Stian Solberg


Astuces sur les filtres (anglais seulement)
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
TotalDomicile Visiteur
# VS Équipe 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 RI
1Adirondack Phantoms11000000651110000006510000000000021.00061218005500351835276311019197228.57%20100.00%0407950.63%416959.42%224055.00%513546152613
2Les Hammers d'Hamilton1000000145-1000000000001000000145-110.50047110055004718352762658287114.29%4175.00%0407950.63%416959.42%224055.00%513546152613
Total2100000110100110000006511000000145-130.7501019290055008218352765715274714321.43%6183.33%0407950.63%416959.42%224055.00%513546152613
_Since Last GM Reset2100000110100110000006511000000145-130.7501019290055008218352765715274714321.43%6183.33%0407950.63%416959.42%224055.00%513546152613
_Vs Conference2100000110100110000006511000000145-130.7501019290055008218352765715274714321.43%6183.33%0407950.63%416959.42%224055.00%513546152613

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
23SOL1101929825715274700
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
21000011010
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
110000065
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
100000145
Derniers 10 matchs
WLOTWOTL SOWSOL
100001
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
14321.43%6183.33%0
Tirs en 1e périodeTirs en 2e périodeTirs en 3e périodeTirs en 4e périodeButs en 1e périodeButs en 2e périodeButs en 3e périodeButs en 4e période
18352765500
Mises en jeu
Gagnées en zone offensiveTotal en zone offensive% gagnées en zone offensive Gagnées en zone défensiveTotal en zone défensive% gagnées en zone défensiveGagnées en zone neutreTotal en zone neutre% gagnées en zone neutre
407950.63%416959.42%224055.00%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
513546152613


Derniers matchs joués
Astuces sur les filtres (anglais seulement)
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
JourMatch Équipe visiteuse Score Équipe locale Score ST OT SO RI Lien
3 - 2026-08-1313Adirondack Phantoms5Comets6WSommaire du match
5 - 2026-08-1524Comets4Les Hammers d'Hamilton5LXXSommaire du match
8 - 2026-08-1847Tuckson Roadrunners-Comets-
12 - 2026-08-2273Canucks d'abbotsford-Comets-
14 - 2026-08-2489Belleville-Comets-
15 - 2026-08-25105Comets-Grand Rapids Griffins-
17 - 2026-08-27108Harford Wolf Pack-Comets-
19 - 2026-08-29126Comets-Hershey Bears-
22 - 2026-09-01148Eagles -Comets-
24 - 2026-09-03163Gulls-Comets-
26 - 2026-09-05171Reign-Comets-
29 - 2026-09-08194Comets-Texas Stars-
30 - 2026-09-09200Comets-Eagles -
32 - 2026-09-11214Comets-Silver Knights-
36 - 2026-09-15241Condors-Comets-
38 - 2026-09-17256Thunderbirds-Comets-
40 - 2026-09-19268Comets-Les Hammers d'Hamilton-
41 - 2026-09-20281Comets-Toronto Marlies-
43 - 2026-09-22287Comets-Moose-
45 - 2026-09-24306Hershey Bears-Comets-
47 - 2026-09-26321Comets-Hershey Bears-
51 - 2026-09-30346Rocket -Comets-
53 - 2026-10-02368Comets-Thunderbirds-
55 - 2026-10-04379Monsters-Comets-
57 - 2026-10-06388Comets-Monsters-
58 - 2026-10-07407Wranglers-Comets-
59 - 2026-10-08425Moose-Comets-
62 - 2026-10-11438Barracuda-Comets-
64 - 2026-10-13457Comets-Belleville-
66 - 2026-10-15472Comets-Wilkes-Barre/Scranton Penguins-
68 - 2026-10-17484Comets-Harford Wolf Pack-
70 - 2026-10-19498Grand Rapids Griffins-Comets-
73 - 2026-10-22525Comets-Providence Bruins-
76 - 2026-10-25536Harford Wolf Pack-Comets-
78 - 2026-10-27553Toronto Marlies-Comets-
80 - 2026-10-29567Providence Bruins-Comets-
81 - 2026-10-30584Milwaukee Admirals-Comets-
83 - 2026-11-01591Comets-Harford Wolf Pack-
84 - 2026-11-02611Comets-Rochester Americans-
85 - 2026-11-03615Providence Bruins-Comets-
87 - 2026-11-05629Comets-Tuckson Roadrunners-
90 - 2026-11-08653Comets-Gulls-
91 - 2026-11-09663Comets-Reign-
93 - 2026-11-11678Comets-Barracuda-
96 - 2026-11-14702Monsters-Comets-
98 - 2026-11-16712Rockford IceHogs-Comets-
101 - 2026-11-19736Comets-Rochester Americans-
102 - 2026-11-20742Comets-Rocket -
105 - 2026-11-23771Les Hammers d'Hamilton-Comets-
108 - 2026-11-26791Texas Stars-Comets-
110 - 2026-11-28798Crunch de Syracuse-Comets-
112 - 2026-11-30817Comets-Adirondack Phantoms-
113 - 2026-12-01825Hershey Bears-Comets-
115 - 2026-12-03837Coachella Valley Firebirds-Comets-
117 - 2026-12-05851Comets-Condors-
119 - 2026-12-07874Comets-Wranglers-
120 - 2026-12-08878Comets-Coachella Valley Firebirds-
123 - 2026-12-11892Comets-Canucks d'abbotsford-
129 - 2026-12-17920Comets-Adirondack Phantoms-
132 - 2026-12-20939Comets-Milwaukee Admirals-
134 - 2026-12-22952Comets-Checkers -
136 - 2026-12-24973Rochester Americans-Comets-
137 - 2026-12-25977Comets-Rockford IceHogs-
139 - 2026-12-27996Les Wolves de Chicago-Comets-
142 - 2026-12-301014Comets-Monsters-
144 - 2027-01-011031Comets-Iowa -
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
146 - 2027-01-031046Belleville-Comets-
148 - 2027-01-051061Comets-Grand Rapids Griffins-
149 - 2027-01-061063Silver Knights-Comets-
153 - 2027-01-101093Comets-Checkers -
155 - 2027-01-121116Comets-Crunch de Syracuse-
157 - 2027-01-141129Comets-Les Wolves de Chicago-
162 - 2027-01-191167Wilkes-Barre/Scranton Penguins-Comets-
164 - 2027-01-211183Toronto Marlies-Comets-
167 - 2027-01-241203Adirondack Phantoms-Comets-
169 - 2027-01-261221Comets-Wilkes-Barre/Scranton Penguins-
171 - 2027-01-281234Comets-Rocket -
173 - 2027-01-301245Les Wolves de Chicago-Comets-
175 - 2027-02-011262Iowa -Comets-
178 - 2027-02-041279Comets-Les Wolves de Chicago-
179 - 2027-02-051295Checkers -Comets-
181 - 2027-02-071310Crunch de Syracuse-Comets-
183 - 2027-02-091319Les Hammers d'Hamilton-Comets-
185 - 2027-02-111343Wilkes-Barre/Scranton Penguins-Comets-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets350
Assistance1,8921,000
Assistance PCT94.60%100.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacité de l’arénaPopularité de l’équipe
40 2892 - 96.40% 82,775$82,775$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
87,840$ 2,288,467$ 2,160,967$ 420,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
11,681$ 70,086$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
3,311,000$ 179 14,640$ 2,620,560$




Comets Leaders statistiques des joueurs (saison régulière)

# Nom du joueur 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 Leaders des statistiques des gardiens (saison régulière)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Comets Statistiques de l'Équipe de Carrière

TotalDomicileVisiteur
Année 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 Leaders statistiques des joueurs (séries éliminatoires)

# Nom du joueur 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 Leaders des statistiques des gardiens (séries éliminatoires)

# Nom du gardien GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA