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Comets
GP: 45 | W: 23 | L: 19 | OTL: 3 | P: 49
GF: 138 | GA: 140 | PP%: 20.57% | PK%: 77.60%
DG: Christian Lemay | Morale : 40 | Moyenne d’équipe : 61
Prochains matchs #721 vs Wild

Centre de jeu
Comets
23-19-3, 49pts
3
4 Penguins
21-15-8, 50pts
Team Stats
W1SéquenceSOL1
10-10-1Fiche domicile13-6-3
13-9-2Fiche domicile8-9-5
8-1-1Derniers 10 matchs4-2-4
3.07Buts par match 3.07
3.11Buts contre par match 3.23
20.57%Pourcentage en avantage numérique25.15%
77.60%Pourcentage en désavantage numérique75.69%
Comets
23-19-3, 49pts
2
1 Moose
11-30-3, 25pts
Team Stats
W1SéquenceL1
10-10-1Fiche domicile6-15-1
13-9-2Fiche domicile5-15-2
8-1-1Derniers 10 matchs2-7-1
3.07Buts par match 2.89
3.11Buts contre par match 4.00
20.57%Pourcentage en avantage numérique18.24%
77.60%Pourcentage en désavantage numérique74.47%
Comets
23-19-3, 49pts
2026-01-12
Wild
18-20-8, 44pts
Statistiques d’équipe
W1SéquenceOTL1
10-10-1Fiche domicile7-9-7
13-9-2Fiche visiteur11-11-1
8-1-110 derniers matchs5-3-2
3.07Buts par match 2.59
3.11Buts contre par match 2.59
20.57%Pourcentage en avantage numérique17.16%
77.60%Pourcentage en désavantage numérique76.64%
Firebirds
21-18-4, 46pts
2026-01-14
Comets
23-19-3, 49pts
Statistiques d’équipe
W1SéquenceW1
12-9-1Fiche domicile10-10-1
9-9-3Fiche visiteur13-9-2
8-2-010 derniers matchs8-1-1
3.12Buts par match 3.07
2.98Buts contre par match 3.07
21.47%Pourcentage en avantage numérique20.57%
80.00%Pourcentage en désavantage numérique77.60%
Wolves
33-10-2, 68pts
2026-01-17
Comets
23-19-3, 49pts
Statistiques d’équipe
L1SéquenceW1
19-5-1Fiche domicile10-10-1
14-5-1Fiche visiteur13-9-2
8-2-010 derniers matchs8-1-1
3.78Buts par match 3.07
2.53Buts contre par match 3.07
26.25%Pourcentage en avantage numérique20.57%
91.33%Pourcentage en désavantage numérique77.60%
Meneurs d'équipe
Riley TufteButs
Riley Tufte
31
Kyle BurroughsPasses
Kyle Burroughs
36
Riley TuftePoints
Riley Tufte
51
Taylor WardPlus/Moins
Taylor Ward
16
Ryan FantiVictoires
Ryan Fanti
15
Semyon VarlamovPourcentage d’arrêts
Semyon Varlamov
0.934

Statistiques d’équipe
Buts pour
138
3.07 GFG
Tirs pour
1403
31.18 Avg
Pourcentage en avantage numérique
20.6%
29 GF
Début de zone offensive
39.8%
Buts contre
140
3.11 GAA
Tirs contre
1555
34.56 Avg
Pourcentage en désavantage numérique
77.6%%
43 GA
Début de la zone défensive
42.1%
Informations de l'équipe

Directeur généralChristian Lemay
EntraîneurKevin Dineen
DivisionMetropolitan Division
ConférenceEastern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité5,000
Assistance4,727
Billets de saison3,750


Informations de la formation

Équipe Pro26
Équipe Mineure19
Limite contact 45 / 70
Espoirs22


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
1Riley TufteX100.00847968639887856465606265616869040650281950,000$
2Aidan McDonoughX100.00724190648186736362606661656768040640262925,000$
3Austin PoganskiXX100.00683982607776855963615860626974040630303925,000$
4Cole ReinhardtX100.00714169627980826068615964626567040630264925,000$
5Wyatt BongiovanniX100.00643882627391795958576458616668040620274925,000$
6Taylor WardX100.00754173618284865667586059566769040620281950,000$
7Brendan FurryX100.00683980597780825855565758566769040610283925,000$
8Riley SutterX100.00794277588869835657545559536668040610264925,000$
9Oskar PetterssonX100.00713990578071785553545658556163040600222925,000$
10Anthony VincentX100.00634266587280765759555654586770040590291925,000$
11Curtis HallXX100.00743891548372665257535456536567040590264925,000$
12Josh Filmon (R)X100.00593694536963615255515054536163040560223925,000$
13Kyle BurroughsX100.00836871637386806230645469497173040640313997,000$
14Frederic BrunetX100.00723987608380825830575663496264040620232925,000$
15Austin StrandX100.00774273598667805830575459466870040610291925,000$
16Corey SchuenemanX100.00613789597281845830575660497072040610301997,000$
17Jake MassieX100.00663889567563695330555457456870040590291925,000$
18Will MacKinnonX100.00644171547366755330525155456567040570264925,000$
Rayé
1Anders BjorkX100.00633792647274736359605762586971040630303925,000$
2Alex GallantXX100.00778650547063755357525155547375040580333925,000$
3Santeri HatakkaX100.00674077637680745730625465476466040610252925,000$
4Ty Gallagher (R)X100.00633889627271615730615456476264040600233925,000$
5Ryan O'RourkeX100.00613974567065845430555257456365040580241925,000$
MOYENNE D’ÉQUIPE100.0070447959777577574857565953666804061
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
1Semyon Varlamov100.00867872818584868584868589910407203813,000,000$
2Ryan Fanti (R)100.0072736882717072717072716675040650263925,000$
Rayé
1Benjamin Gaudreau (R)100.0064716775636264636264636267040600233925,000$
MOYENNE D’ÉQUIPE100.007474697973727473727473727804066
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Kevin Dineen67686976928756CAN614750,000$


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
1Riley TufteComets (NJD)LW45312051784102091272106913114.76%11117326.0875124012110141633249.91%57100010.8712200715
2Wyatt BongiovanniComets (NJD)C451431451520199715463979.09%12100022.2331013231240004772046.45%124000100.9001000171
3Aidan McDonoughComets (NJD)LW45241438814055931784613513.48%14104123.154373010901111912036.11%7200000.7302000233
4Kyle BurroughsComets (NJD)D4523638410115186798431662.38%88106323.63189481210000140000%100000.7100201204
5Riley SutterComets (NJD)C45922311134011210010726798.41%988219.61167171060001484147.71%111500000.7000000122
6Taylor WardComets (NJD)RW45161329162807957136287711.76%1093020.6843720117000002346.67%9000010.6211000242
7Corey SchuenemanComets (NJD)D454212556030486910425.80%6191120.25268421040112141000%000000.5500000002
8Frederic BrunetComets (NJD)D4522123230042486316403.17%72107723.9625738126000015910100.00%100000.4300000000
9Austin StrandComets (NJD)D45218207440139354916484.08%7588319.64268271040000123010%000000.4500000002
10Cole ReinhardtComets (NJD)LW459716-11175758112138997.44%1174316.510000400041022051.38%10900000.4301001121
11Curtis HallComets (NJD)C/LW4587154195464263215012.70%880917.993141185000052043.69%29300000.3700100000
12Santeri HatakkaComets (NJD)D2627901603820135715.38%2231312.0700001000136000%000000.5700000000
13Ty GallagherComets (NJD)D26088-1802299370%1729111.2300002000013000%000000.5500000000
14Jake MassieComets (NJD)D45088-116041211511140%2649010.9000014000090050.00%200000.3300000000
15Will MacKinnonComets (NJD)D25426417519491644.44%71576.2800015000013100%000000.7600001110
16Kai UchaczDevilsC26325-812043513510258.57%236514.0600003000090153.92%39500000.2700000001
17Ryan O'RourkeComets (NJD)D26235312020773428.57%101475.670000000000110%000000.6800000000
18Josh FilmonComets (NJD)LW37134-1420116294103.45%741811.3100001000060054.55%2200000.1900000000
19Austin PoganskiComets (NJD)LW/RW92022008142810167.14%117219.190002260001141042.31%2600100.2312000000
20Brendan FurryComets (NJD)LW9022300116250%0394.3600000000000050.00%600001.0201000000
21Oskar PetterssonComets (NJD)RW902234099125120%113915.45000000000140040.00%3000000.2900000000
22Anthony VincentComets (NJD)RW91012002152220.00%0364.0300000000000033.33%300000.5501000000
Statistiques d’équipe totales ou en moyenne7421362473836146640119696014024209729.70%4641308917.64295382300116812318127321947.76%397600220.59311503172023
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
1Ryan FantiComets (NJD)36151720.9033.34204744114117301000369421
2Semyon VarlamovComets (NJD)97110.9342.2755500213170010.9091190310
3Benjamin GaudreauComets (NJD)21100.9302.53950045700000026000
Statistiques d’équipe totales ou en moyenne47231930.9103.092698441391547011114535731


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 Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Plafond 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
Aidan McDonoughComets (NJD)LW261999-11-06USANo190 Lbs191 CMNoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Alex GallantComets (NJD)C/LW331992-12-08CANNo177 Lbs183 CMNoNoAssign ManuallyYesYes32025-12-21FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Anders BjorkComets (NJD)LW301996-08-05USANo190 Lbs183 CMNoNoAssign ManuallyYesYes32025-12-21FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Anthony VincentComets (NJD)RW291997-08-12USANo190 Lbs183 CMNoNoAssign ManuallyYesYes12025-12-21FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Austin PoganskiComets (NJD)LW/RW301996-02-16USANo198 Lbs185 CMNoNoAssign Manually2024-10-24YesYes32025-12-21FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Austin StrandComets (NJD)D291997-02-17CANNo215 Lbs191 CMNoNoN/AYesYes1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Benjamin GaudreauComets (NJD)G232003-01-11CANYes175 Lbs188 CMNoNoProspectNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Brendan FurryComets (NJD)LW281998-07-08USANo198 Lbs185 CMNoNoAssign ManuallyYesYes32025-12-21FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Cole ReinhardtComets (NJD)LW262000-02-01CANNo207 Lbs185 CMNoNoAssign ManuallyNoNo42024-07-22FalseFalsePro & Farm925,000$0$0$No925,000$925,000$925,000$------925,000$925,000$925,000$------NoNoNo------Lien / Lien NHL
Corey SchuenemanComets (NJD)D301995-09-02USANo197 Lbs180 CMNoNoN/AYesYes1FalseFalsePro & Farm997,000$0$0$No---------------------------Lien / Lien NHL
Curtis HallComets (NJD)C/LW262000-04-26USANo197 Lbs191 CMNoNoAssign ManuallyNoNo42024-07-22FalseFalsePro & Farm925,000$0$0$No925,000$925,000$925,000$------925,000$925,000$925,000$------NoNoNo------Lien / Lien NHL
Frederic BrunetComets (NJD)D232003-08-21CANNo196 Lbs191 CMNoNoAssign ManuallyNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Jake MassieComets (NJD)D291997-01-27CANNo190 Lbs185 CMNoNoN/AYesYes1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Josh FilmonComets (NJD)LW222004-03-18CANYes158 Lbs185 CMNoNoProspectNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Kyle BurroughsComets (NJD)D311995-07-12CANNo193 Lbs183 CMNoNoN/AYesYes3FalseFalsePro & Farm997,000$0$0$No997,000$997,000$-------997,000$997,000$-------NoNo-------Lien / Lien NHL
Oskar PetterssonComets (NJD)RW222004-02-04SWENo198 Lbs188 CMNoNoProspectNoNo22024-05-23FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Riley SutterComets (NJD)C261999-10-25CANNo210 Lbs193 CMNoNoAssign ManuallyNoNo42024-07-22FalseFalsePro & Farm925,000$0$0$No925,000$925,000$925,000$------925,000$925,000$925,000$------NoNoNo------Lien / Lien NHL
Riley TufteComets (NJD)LW281998-04-10USANo230 Lbs198 CMNoNoN/AYesYes1FalseFalsePro & Farm950,000$0$0$No---------------------------Lien / Lien NHL
Ryan FantiComets (NJD)G261999-10-03CANYes194 Lbs191 CMNoNoDraftNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Ryan O'RourkeComets (NJD)D242002-05-16CANNo178 Lbs183 CMNoNoTrade2025-09-02NoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Lien / Lien NHL
Santeri HatakkaComets (NJD)D252001-01-15FINNo191 Lbs185 CMNoNoTrade2025-09-02NoNo2FalseFalsePro & Farm925,000$0$0$No925,000$--------925,000$--------No--------Lien / Lien NHL
Semyon Varlamov (contrat à 1 volet)Comets (NJD)G381988-04-27RUSNo201 Lbs188 CMNoNoTrade2024-06-06YesYes1FalseFalsePro & Farm3,000,000$3,000,000$1,492,228$No---------------------------Lien / Lien NHL
Taylor WardComets (NJD)RW281998-03-31USANo207 Lbs188 CMNoNoN/AYesYes1FalseFalsePro & Farm950,000$0$0$No---------------------------Lien / Lien NHL
Ty GallagherComets (NJD)D232003-03-06USAYes188 Lbs183 CMNoNoProspectNoNo32025-06-01FalseFalsePro & Farm925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------Lien / Lien NHL
Will MacKinnonComets (NJD)D262000-04-13USANo201 Lbs180 CMNoNoAssign ManuallyNoNo42024-07-22FalseFalsePro & Farm925,000$0$0$No925,000$925,000$925,000$------925,000$925,000$925,000$------NoNoNo------Lien / Lien NHL
Wyatt BongiovanniComets (NJD)C271999-07-24USANo194 Lbs183 CMNoNoAssign ManuallyNoNo42024-07-22FalseFalsePro & Farm925,000$0$0$No925,000$925,000$925,000$------925,000$925,000$925,000$------NoNoNo------Lien / Lien NHL
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2627.23195 Lbs185 CM2.421,012,269$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Riley TufteWyatt BongiovanniAustin Poganski40122
2Aidan McDonoughRiley SutterTaylor Ward30122
3Cole ReinhardtCurtis HallOskar Pettersson20122
4Brendan FurryRiley TufteAnthony Vincent10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kyle BurroughsFrederic Brunet40122
2Corey SchuenemanAustin Strand30122
3Jake MassieWill MacKinnon20122
4Kyle BurroughsFrederic Brunet10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Riley TufteWyatt BongiovanniAustin Poganski60122
2Aidan McDonoughRiley SutterTaylor Ward40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kyle BurroughsFrederic Brunet60122
2Corey SchuenemanAustin Strand40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Riley TufteAidan McDonough60122
2Austin PoganskiCole Reinhardt40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kyle BurroughsFrederic Brunet60122
2Corey SchuenemanAustin Strand40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Riley Tufte60122Kyle BurroughsFrederic Brunet60122
2Aidan McDonough40122Corey SchuenemanAustin Strand40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Riley TufteAidan McDonough60122
2Austin PoganskiCole Reinhardt40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kyle BurroughsFrederic Brunet60122
2Corey SchuenemanAustin Strand40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Riley TufteWyatt BongiovanniAustin PoganskiKyle BurroughsFrederic Brunet
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Riley TufteWyatt BongiovanniAustin PoganskiKyle BurroughsFrederic Brunet
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Josh Filmon, Brendan Furry, Oskar PetterssonJosh Filmon, Brendan FurryOskar Pettersson
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Jake Massie, Will MacKinnon, Corey SchuenemanJake MassieWill MacKinnon, Corey Schueneman
Tirs de pénalité
Riley Tufte, Aidan McDonough, Austin Poganski, Cole Reinhardt, Wyatt Bongiovanni
Gardien
#1 : Semyon Varlamov, #2 : Ryan Fanti


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
TotalDomicileVisiteur
# 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
1Americans21000100743110000004041000010034-130.750712190148513645946744547131631410484125.00%50100.00%0747156647.70%809165848.79%34371048.31%10286881116338579286
2Barracuda20200000511-61010000047-31010000014-300.00059140048513648246744547131831420534125.00%10460.00%0747156647.70%809165848.79%34371048.31%10286881116338579286
3Bears21000010954100000104311100000052341.000913220048513645146744547131791930635120.00%13284.62%0747156647.70%809165848.79%34371048.31%10286881116338579286
4Bruins11000000211000000000001100000021121.000246004851364374674454713130101328400.00%20100.00%0747156647.70%809165848.79%34371048.31%10286881116338579286
5Canucks11000000404110000004040000000000021.00048120148513643846744547131321216235240.00%70100.00%0747156647.70%809165848.79%34371048.31%10286881116338579286
6Checkers22000000963110000006511100000031241.000918270048513648246744547131742726704250.00%13284.62%0747156647.70%809165848.79%34371048.31%10286881116338579286
7Condors1010000068-21010000068-20000000000000.00061218004851364294674454713146188353266.67%4250.00%0747156647.70%809165848.79%34371048.31%10286881116338579286
8Crunch3210000010821010000012-12200000096340.66710182800485136410646744547131792927621119.09%11372.73%0747156647.70%809165848.79%34371048.31%10286881116338579286
9Eagles22000000927110000003031100000062441.0009182701485136476467445471315215165110440.00%80100.00%0747156647.70%809165848.79%34371048.31%10286881116338579286
10Griffins1010000013-21010000013-20000000000000.0001230048513642746744547131471214213133.33%6183.33%0747156647.70%809165848.79%34371048.31%10286881116338579286
11Gulls20200000711-41010000047-31010000034-100.000712190048513645946744547131612222577114.29%9277.78%0747156647.70%809165848.79%34371048.31%10286881116338579286
12IceHogs11000000422000000000001100000042221.000471100485136425467445471313326293133.33%3166.67%0747156647.70%809165848.79%34371048.31%10286881116338579286
13Marlies2110000056-1000000000002110000056-120.50059141048513645646744547131681529617114.29%60100.00%0747156647.70%809165848.79%34371048.31%10286881116338579286
14Monsters32100000121111010000046-22200000085340.66712223400485136478467445471311325153749333.33%17570.59%0747156647.70%809165848.79%34371048.31%10286881116338579286
15Moose11000000211000000000001100000021121.00024600485136427467445471313715830300.00%40100.00%0747156647.70%809165848.79%34371048.31%10286881116338579286
16Penguins2010010057-21010000023-11000010034-110.25051015004851364774674454713147141566600.00%4175.00%0747156647.70%809165848.79%34371048.31%10286881116338579286
17Phantoms2110000045-1110000003121010000014-320.50046100048513646646744547131451519407114.29%5180.00%0747156647.70%809165848.79%34371048.31%10286881116338579286
18Reign1010000023-1000000000001010000023-100.0002350048513642346744547131261114193133.33%6350.00%0747156647.70%809165848.79%34371048.31%10286881116338579286
19Roadrunners21100000660110000004221010000024-220.50061016004851364514674454713170221651300.00%7185.71%0747156647.70%809165848.79%34371048.31%10286881116338579286
20Rocket11000000303110000003030000000000021.000358014851364334674454713122610279222.22%50100.00%0747156647.70%809165848.79%34371048.31%10286881116338579286
21Senators1010000034-1000000000001010000034-100.0003580048513641646744547131441110202150.00%5260.00%0747156647.70%809165848.79%34371048.31%10286881116338579286
22Silver Knights2020000018-71010000004-41010000014-300.000112004851364614674454713171211258500.00%6183.33%0747156647.70%809165848.79%34371048.31%10286881116338579286
23Sound Tigers300011107611000010023-12000101053250.83371118004851364110467445471311122826891200.00%13469.23%0747156647.70%809165848.79%34371048.31%10286881116338579286
24Stars1010000006-61010000006-60000000000000.0000000048513642046744547131497421100.00%2150.00%0747156647.70%809165848.79%34371048.31%10286881116338579286
25Thunderbirds11000000431110000004310000000000021.00048120048513643646744547131281310186350.00%4175.00%0747156647.70%809165848.79%34371048.31%10286881116338579286
26Wild1010000034-11010000034-10000000000000.000369004851364274674454713146111028200.00%5180.00%1747156647.70%809165848.79%34371048.31%10286881116338579286
27Wolves2110000089-1110000006421010000025-320.50081422004851364514674454713179312654300.00%12558.33%0747156647.70%809165848.79%34371048.31%10286881116338579286
Total45201901320138140-221910001106871-3241190121070691490.544138247385144851364140346744547131155546547011961412920.57%1924377.60%1747156647.70%809165848.79%34371048.31%10286881116338579286
_Since Last GM Reset45201901320138140-221910001106871-3241190121070691490.544138247385144851364140346744547131155546547011961412920.57%1924377.60%1747156647.70%809165848.79%34371048.31%10286881116338579286
_Vs Conference27138013208575101154001103630616840121049454350.6488514923412485136484946744547131921282308723861416.28%1172677.78%0747156647.70%809165848.79%34371048.31%10286881116338579286
_Vs Division1454012204543262200110212018320111024231180.64345761210048513644334674454713149415816938642511.90%641871.88%0747156647.70%809165848.79%34371048.31%10286881116338579286

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
4549W113824738514031555465470119614
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
4520191320138140
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
2191001106871
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
2411912107069
Derniers 10 matchs
WLOTWOTL SOWSOL
810100
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
1412920.57%1924377.60%1
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
467445471314851364
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
747156647.70%809165848.79%34371048.31%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
10286881116338579286


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 - 2025-10-0914Comets2Wolves5LSommaire du match
5 - 2025-10-1126Comets3Crunch2WSommaire du match
7 - 2025-10-1345Comets5Monsters4WSommaire du match
10 - 2025-10-1664Checkers5Comets6WSommaire du match
12 - 2025-10-1878Condors8Comets6LSommaire du match
15 - 2025-10-2198Comets3Marlies2WSommaire du match
16 - 2025-10-22108Wild4Comets3LSommaire du match
18 - 2025-10-24124Barracuda7Comets4LSommaire du match
20 - 2025-10-26140Eagles0Comets3WSommaire du match
22 - 2025-10-28161Comets6Eagles2WSommaire du match
24 - 2025-10-30176Comets1Barracuda4LSommaire du match
26 - 2025-11-01191Comets2Reign3LSommaire du match
27 - 2025-11-02197Comets3Gulls4LSommaire du match
31 - 2025-11-06220Rocket0Comets3WSommaire du match
33 - 2025-11-08231Penguins3Comets2LSommaire du match
35 - 2025-11-10252Sound Tigers3Comets2LXSommaire du match
37 - 2025-11-12268Comets4IceHogs2WSommaire du match
40 - 2025-11-15288Comets5Bears2WSommaire du match
43 - 2025-11-18309Comets6Crunch4WSommaire du match
45 - 2025-11-20323Comets3Checkers1WSommaire du match
47 - 2025-11-22339Comets1Phantoms4LSommaire du match
49 - 2025-11-24354Griffins3Comets1LSommaire du match
51 - 2025-11-26364Thunderbirds3Comets4WSommaire du match
53 - 2025-11-28379Comets3Americans4LXSommaire du match
54 - 2025-11-29395Phantoms1Comets3WSommaire du match
56 - 2025-12-01406Monsters6Comets4LSommaire du match
58 - 2025-12-03421Stars6Comets0LSommaire du match
60 - 2025-12-05436Silver Knights4Comets0LSommaire du match
61 - 2025-12-06443Comets2Bruins1WSommaire du match
64 - 2025-12-09467Comets3Senators4LSommaire du match
66 - 2025-12-11481Crunch2Comets1LSommaire du match
68 - 2025-12-13495Gulls7Comets4LSommaire du match
69 - 2025-12-14508Canucks0Comets4WSommaire du match
72 - 2025-12-17533Comets1Silver Knights4LSommaire du match
74 - 2025-12-19547Comets2Roadrunners4LSommaire du match
76 - 2025-12-21565Americans0Comets4WSommaire du match
78 - 2025-12-23580Comets3Sound Tigers2WXSommaire du match
82 - 2025-12-27592Bears3Comets4WXXSommaire du match
85 - 2025-12-30617Comets2Marlies4LSommaire du match
86 - 2025-12-31627Comets3Monsters1WSommaire du match
89 - 2026-01-03645Roadrunners2Comets4WSommaire du match
90 - 2026-01-04660Wolves4Comets6WSommaire du match
92 - 2026-01-06669Comets2Sound Tigers1WXXSommaire du match
94 - 2026-01-08687Comets3Penguins4LXSommaire du match
97 - 2026-01-11711Comets2Moose1WSommaire du match
98 - 2026-01-12721Comets-Wild-
100 - 2026-01-14735Firebirds-Comets-
103 - 2026-01-17759Wolves-Comets-
105 - 2026-01-19777Comets-Heat-
106 - 2026-01-20786Comets-Condors-
109 - 2026-01-23807Comets-Canucks-
111 - 2026-01-25820Comets-Firebirds-
113 - 2026-01-27835Moose-Comets-
115 - 2026-01-29848Admirals-Comets-
117 - 2026-01-31866Comets-Senators-
120 - 2026-02-03887Monsters-Comets-
122 - 2026-02-05905Sound Tigers-Comets-
142 - 2026-02-25910Americans-Comets-
143 - 2026-02-26922Comets-Penguins-
145 - 2026-02-28943Comets-Thunderbirds-
148 - 2026-03-03961Checkers-Comets-
149 - 2026-03-04971Marlies-Comets-
152 - 2026-03-07991Wolf Pack-Comets-
153 - 2026-03-081005Griffins-Comets-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
157 - 2026-03-121032Heat-Comets-
159 - 2026-03-141050Reign-Comets-
161 - 2026-03-161064Bruins-Comets-
163 - 2026-03-181077Comets-Wolf Pack-
165 - 2026-03-201095Comets-Bears-
169 - 2026-03-241130Comets-Stars-
171 - 2026-03-261144Comets-Admirals-
173 - 2026-03-281157Comets-Wolves-
174 - 2026-03-291171IceHogs-Comets-
176 - 2026-03-311182Comets-Wolf Pack-
178 - 2026-04-021194Bears-Comets-
180 - 2026-04-041212Rocket-Comets-
181 - 2026-04-051226Comets-Rocket-
183 - 2026-04-071236Phantoms-Comets-
185 - 2026-04-091251Penguins-Comets-
187 - 2026-04-111265Comets-Griffins-
188 - 2026-04-121279Senators-Comets-
190 - 2026-04-141292Comets-Bruins-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité30002000
Prix des billets2515
Assistance59,73639,526
Assistance PCT94.82%94.11%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
20 4727 - 94.54% 145,047$3,045,986$5000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
1,345,713$ 2,331,900$ 2,331,900$ 750,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 968,771$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
2,900,939$ 96 15,968$ 1,532,928$




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