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Comets
GP: 82 | W: 43 | L: 35 | OTL: 4 | P: 90
GF: 249 | GA: 240 | PP%: 21.72% | PK%: 81.51%
DG: Christian Lemay | Morale : 40 | Moyenne d’équipe : 61

Centre de jeu
Senators
48-27-7, 103pts
0
2 Comets
43-35-4, 90pts
Team Stats
L3SéquenceL1
25-12-4Fiche domicile23-16-2
23-15-3Fiche domicile20-19-2
3-7-0Derniers 10 matchs6-4-0
3.48Buts par match 3.04
3.09Buts contre par match 2.93
24.14%Pourcentage en avantage numérique21.72%
80.97%Pourcentage en désavantage numérique81.51%
Comets
43-35-4, 90pts
3
4 Bruins
32-44-6, 70pts
Team Stats
L1SéquenceW3
23-16-2Fiche domicile18-21-2
20-19-2Fiche domicile14-23-4
6-4-0Derniers 10 matchs5-5-0
3.04Buts par match 3.00
2.93Buts contre par match 3.60
21.72%Pourcentage en avantage numérique19.00%
81.51%Pourcentage en désavantage numérique75.69%
Meneurs d'équipe
Riley TufteButs
Riley Tufte
48
Kyle BurroughsPasses
Kyle Burroughs
68
Riley TuftePoints
Riley Tufte
85
Wyatt BongiovanniPlus/Moins
Wyatt Bongiovanni
32
Semyon VarlamovVictoires
Semyon Varlamov
27
Benjamin GaudreauPourcentage d’arrêts
Benjamin Gaudreau
0.93

Statistiques d’équipe
Buts pour
249
3.04 GFG
Tirs pour
2640
32.20 Avg
Pourcentage en avantage numérique
21.7%
58 GF
Début de zone offensive
40.0%
Buts contre
240
2.93 GAA
Tirs contre
2817
34.35 Avg
Pourcentage en désavantage numérique
81.5%%
71 GA
Début de la zone défensive
42.6%
Informations de l'équipe

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


Informations de l’aréna

Capacité5,000
Assistance4,703
Billets de saison3,750


Informations de la formation

Équipe Pro23
Équipe Mineure22
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$
3Cole ReinhardtX100.00714169627980826068615964626567040630264925,000$
4Wyatt BongiovanniX100.00643882627391795958576458616668040620274925,000$
5Taylor WardX100.00754173618284865667586059566769040620281950,000$
6Riley SutterX100.00794277588869835657545559536668040610264925,000$
7Kai Uchacz (R)X100.00734369568273725763585859556264040600233925,000$
8Oskar PetterssonX100.00713990578071785553545658556163040600222925,000$
9Anthony VincentX100.00634266587280765759555654586770040590291925,000$
10Curtis HallXX100.00743891548372665257535456536567040590264925,000$
11Alex GallantXX100.00778650547063755357525155547375040580333925,000$
12Kyle BurroughsX100.00836871637386806230645469497173040640313997,000$
13Frederic BrunetX100.00723987608380825830575663496264040620232925,000$
14Austin StrandX100.00774273598667805830575459466870040610291925,000$
15Corey SchuenemanX100.00613789597281845830575660497072040610301997,000$
16Ty Gallagher (R)X100.00633889627271615730615456476264040600233925,000$
17Jake MassieX100.00663889567563695330555457456870040590291925,000$
18Ryan O'RourkeX100.00613974567065845430555257456365040580241925,000$
19Will MacKinnonX100.00644171547366755330525155456567040570264925,000$
Rayé
1Josh Filmon (R)X100.00593694536963615255515054536163040560223925,000$
MOYENNE D’ÉQUIPE100.0070457859787577574857565953666804061
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)LW82483785251601037321138613025012.44%22212525.92812206622811283265251.10%108800010.80122001119
2Kyle BurroughsComets (NJD)D821268801819020334140185621236.49%156198224.18618241102310000281100%100000.8100201565
3Wyatt BongiovanniComets (NJD)C82265076326025168264931569.85%15171720.95617234723200081582046.58%214900200.8801000282
4Aidan McDonoughComets (NJD)LW8244287219295901593458423712.75%29185822.66771462202112839712139.58%14400020.7702001646
5Riley SutterComets (NJD)C8216365222740200178196461338.16%14150418.3521214321980001486147.48%186800000.6900000135
6Taylor WardComets (NJD)RW8221305127580136100212531419.91%14155718.99781538219000004347.95%14600010.6611000253
7Frederic BrunetComets (NJD)D8210374717495759513736797.30%142194223.697121980237011332610100.00%100000.4800000211
8Corey SchuenemanComets (NJD)D82933427180538412827767.03%115168920.605914721951125294110%000000.5000000012
9Austin StrandComets (NJD)D82433377860270719729834.12%122164220.034913551950111259010%000000.4500000014
10Cole ReinhardtComets (NJD)LW82201030-27335120158225661588.89%21134216.370001600062003155.56%22500000.4501001172
11Curtis HallComets (NJD)C/LW8291019-6235627184266010.71%10107313.0931411860001232043.84%58400000.3500100000
12Jake MassieComets (NJD)D8211617-528085432918293.45%53101112.33000140000540025.00%400000.3400000000
13Oskar PetterssonComets (NJD)RW463121588041478321573.61%575116.3313410720000280042.86%9800000.4000000010
14Ty GallagherComets (NJD)D5321214-6280543420111310.00%3563812.0510114000017010%000000.4400000100
15Kai UchaczComets (NJD)C536713-1622080967926527.59%873613.90000060001300150.67%82100000.3500000001
16Santeri HatakkaDevilsD2627901603820135715.38%2231312.0700001000136000%000000.5700000000
17Will MacKinnonComets (NJD)D3554952154412131738.46%183028.6300016000032100%100000.6000001110
18Ryan O'RourkeComets (NJD)D5326821402214117518.18%162695.0800000000019110%000000.5900000000
19Austin PoganskiDevilsLW/RW133472209193710258.11%125019.271233330003271041.86%4300100.5612000001
20Anthony VincentComets (NJD)RW46246-416027335314363.77%150711.03000010000541053.47%10100000.2401000000
21Josh FilmonComets (NJD)LW41134-1520116294123.45%742410.3600001000080055.56%2700000.1900000000
22Brendan FurryDevilsLW13033400139260%0534.1400000000000063.64%1100001.1101000000
23Alex GallantComets (NJD)C/LW27101-3609543325.00%0883.2900000000000050.00%600000.2300000000
Statistiques d’équipe totales ou en moyenne13902474506971138895521491777263977417489.36%8262378417.11581101685902165358462626411347.95%731800340.59311504323941
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
1Semyon VarlamovComets (NJD)46271720.9232.6327202311915490020.909114601032
2Ryan FantiComets (NJD)38151720.9043.282101441151202010003646421
3Benjamin GaudreauComets (NJD)21100.9302.53950045700000026000
Statistiques d’équipe totales ou en moyenne86433540.9152.9049176723828080121182721453


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
Anthony VincentComets (NJD)RW291997-08-12USANo190 Lbs183 CMNoNoAssign ManuallyYesYes12025-12-21FalseFalsePro & Farm925,000$0$0$No---------------------------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
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
Kai UchaczComets (NJD)C232003-06-24CANYes209 Lbs188 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
Semyon Varlamov (contrat à 1 volet)Comets (NJD)G381988-04-27RUSNo201 Lbs188 CMNoNoTrade2024-06-06YesYes1FalseFalsePro & Farm3,000,000$3,000,000$0$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
2326.87195 Lbs188 CM2.391,023,652$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Riley TufteWyatt BongiovanniTaylor Ward40122
2Aidan McDonoughRiley SutterOskar Pettersson30122
3Cole ReinhardtKai UchaczAnthony Vincent20122
4Alex GallantCurtis HallRiley Tufte10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kyle BurroughsFrederic Brunet40122
2Corey SchuenemanAustin Strand30122
3Ty GallagherJake Massie20122
4Ryan O'RourkeKyle Burroughs10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Riley TufteWyatt BongiovanniTaylor Ward60122
2Aidan McDonoughRiley SutterOskar Pettersson40122
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
2Cole ReinhardtWyatt Bongiovanni40122
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
2Cole ReinhardtWyatt Bongiovanni40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kyle BurroughsFrederic Brunet60122
2Corey SchuenemanAustin Strand40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Riley TufteWyatt BongiovanniTaylor WardKyle BurroughsFrederic Brunet
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Riley TufteWyatt BongiovanniTaylor WardKyle BurroughsFrederic Brunet
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Kai Uchacz, Curtis Hall, Anthony VincentKai Uchacz, Curtis HallAnthony Vincent
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Ty Gallagher, Jake Massie, Ryan O'RourkeTy GallagherJake Massie, Ryan O'Rourke
Tirs de pénalité
Riley Tufte, Aidan McDonough, Cole Reinhardt, Wyatt Bongiovanni, Taylor Ward
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
1Admirals220000001055110000006421100000041341.0001020300092866845590281989832581716488225.00%8187.50%01384291647.46%1517310248.90%612126848.26%1861123920296261054519
2Americans31000200972210001006331000010034-140.6679162501928668490902819898329518186810220.00%90100.00%01384291647.46%1517310248.90%612126848.26%1861123920296261054519
3Barracuda20200000511-61010000047-31010000014-300.00059140092866848290281989832831420534125.00%10460.00%01384291647.46%1517310248.90%612126848.26%1861123920296261054519
4Bears4120001015141201000108802110000076140.5001523380092866849790281989832155476410313430.77%29775.86%01384291647.46%1517310248.90%612126848.26%1861123920296261054519
5Bruins321000001082110000005322110000055040.6671019290092866841029028198983295233577700.00%13192.31%01384291647.46%1517310248.90%612126848.26%1861123920296261054519
6Canucks22000000505110000004041100000010141.000510150292866847390281989832732724487228.57%110100.00%01384291647.46%1517310248.90%612126848.26%1861123920296261054519
7Checkers33000000177102200000014681100000031261.000173350009286684140902819898329539361037457.14%18288.89%01384291647.46%1517310248.90%612126848.26%1861123920296261054519
8Condors20200000712-51010000068-21010000014-300.000714210092866846990281989832843112757228.57%5260.00%01384291647.46%1517310248.90%612126848.26%1861123920296261054519
9Crunch3210000010821010000012-12200000096340.66710182800928668410690281989832792927621119.09%11372.73%01384291647.46%1517310248.90%612126848.26%1861123920296261054519
10Eagles22000000927110000003031100000062441.0009182701928668476902819898325215165110440.00%80100.00%01384291647.46%1517310248.90%612126848.26%1861123920296261054519
11Firebirds21100000871110000005231010000035-220.500814220092866846990281989832611618485360.00%9188.89%11384291647.46%1517310248.90%612126848.26%1861123920296261054519
12Griffins31200000810-22020000048-41100000042220.3338132100928668492902819898321233034719333.33%16287.50%01384291647.46%1517310248.90%612126848.26%1861123920296261054519
13Gulls20200000711-41010000047-31010000034-100.000712190092866845990281989832612222577114.29%9277.78%01384291647.46%1517310248.90%612126848.26%1861123920296261054519
14Heat2020000058-31010000023-11010000035-200.000510150092866845090281989832771820577228.57%10280.00%01384291647.46%1517310248.90%612126848.26%1861123920296261054519
15IceHogs211000006511010000023-11100000042220.50061016009286684659028198983273814477114.29%7271.43%01384291647.46%1517310248.90%612126848.26%1861123920296261054519
16Marlies32100000761110000002022110000056-140.66771219119286684919028198983210323439510220.00%130100.00%01384291647.46%1517310248.90%612126848.26%1861123920296261054519
17Monsters43100000161422110000089-12200000085360.75016284400928668411490281989832167576910013430.77%24675.00%11384291647.46%1517310248.90%612126848.26%1861123920296261054519
18Moose22000000633110000004221100000021141.000611170092866846690281989832752920607114.29%100100.00%01384291647.46%1517310248.90%612126848.26%1861123920296261054519
19Penguins4210010013112211000005502100010086250.62513243700928668415190281989832116344312513215.38%18383.33%01384291647.46%1517310248.90%612126848.26%1861123920296261054519
20Phantoms32100000761220000006241010000014-340.6677111800928668496902819898327622356214321.43%12283.33%01384291647.46%1517310248.90%612126848.26%1861123920296261054519
21Reign21100000761110000005321010000023-120.500711180092866846690281989832501635417228.57%10460.00%01384291647.46%1517310248.90%612126848.26%1861123920296261054519
22Roadrunners21100000660110000004221010000024-220.50061016009286684519028198983270221651300.00%7185.71%01384291647.46%1517310248.90%612126848.26%1861123920296261054519
23Rocket32100000862220000005141010000035-240.66781523019286684101902819898327919267515213.33%13469.23%01384291647.46%1517310248.90%612126848.26%1861123920296261054519
24Senators32100000972110000002022110000077040.66791726019286684919028198983210031268110330.00%11372.73%01384291647.46%1517310248.90%612126848.26%1861123920296261054519
25Silver Knights2020000018-71010000004-41010000014-300.000112009286684619028198983271211258500.00%6183.33%01384291647.46%1517310248.90%612126848.26%1861123920296261054519
26Sound Tigers41001110972210001004402000101053270.875915240092866841349028198983214644471131715.88%20575.00%01384291647.46%1517310248.90%612126848.26%1861123920296261054519
27Stars20200000210-81010000006-61010000024-200.0002460092866845690281989832931916495120.00%8187.50%01384291647.46%1517310248.90%612126848.26%1861123920296261054519
28Thunderbirds2110000045-1110000004311010000002-220.500481200928668466902819898327323284310330.00%12375.00%01384291647.46%1517310248.90%612126848.26%1861123920296261054519
29Wild2020000058-31010000034-11010000024-200.000510151092866845990281989832882327554125.00%11190.91%11384291647.46%1517310248.90%612126848.26%1861123920296261054519
30Wolf Pack321000008531010000012-12200000073440.667816240092866849690281989832924026728112.50%12191.67%01384291647.46%1517310248.90%612126848.26%1861123920296261054519
31Wolves413000001017-72110000067-120200000410-620.250101828009286684116902819898321545150101700.00%24770.83%01384291647.46%1517310248.90%612126848.26%1861123920296261054519
Total824035014202492409412216002101331181541181901210116122-6900.549249450699279286684264090281989832281782889521492675821.72%3847181.51%31384291647.46%1517310248.90%612126848.26%1861123920296261054519
_Since Last GM Reset824035014202492409412216002101331181541181901210116122-6900.549249450699279286684264090281989832281782889521492675821.72%3847181.51%31384291647.46%1517310248.90%612126848.26%1861123920296261054519
_Vs Conference50271601420156133232514800210776017251380121079736640.640156278434149286684161790281989832167550757913081643219.51%2434681.07%11384291647.46%1517310248.90%612126848.26%1861123920296261054519
_Vs Division2612901220787441365001103837113640111040373320.6157813521300928668480490281989832906295334676851517.65%1393177.70%11384291647.46%1517310248.90%612126848.26%1861123920296261054519

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
8290L124945069926402817828895214927
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
8240351420249240
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
4122160210133118
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
4118191210116122
Derniers 10 matchs
WLOTWOTL SOWSOL
640000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
2675821.72%3847181.51%3
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
902819898329286684
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
1384291647.46%1517310248.90%612126848.26%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
1861123920296261054519


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 - 2025-09-2814Comets2Wolves5LSommaire du match
5 - 2025-09-3026Comets3Crunch2WSommaire du match
7 - 2025-10-0245Comets5Monsters4WSommaire du match
10 - 2025-10-0564Checkers5Comets6WSommaire du match
12 - 2025-10-0778Condors8Comets6LSommaire du match
15 - 2025-10-1098Comets3Marlies2WSommaire du match
16 - 2025-10-11108Wild4Comets3LSommaire du match
18 - 2025-10-13124Barracuda7Comets4LSommaire du match
20 - 2025-10-15140Eagles0Comets3WSommaire du match
22 - 2025-10-17161Comets6Eagles2WSommaire du match
24 - 2025-10-19176Comets1Barracuda4LSommaire du match
26 - 2025-10-21191Comets2Reign3LSommaire du match
27 - 2025-10-22197Comets3Gulls4LSommaire du match
31 - 2025-10-26220Rocket0Comets3WSommaire du match
33 - 2025-10-28231Penguins3Comets2LSommaire du match
35 - 2025-10-30252Sound Tigers3Comets2LXSommaire du match
37 - 2025-11-01268Comets4IceHogs2WSommaire du match
40 - 2025-11-04288Comets5Bears2WSommaire du match
43 - 2025-11-07309Comets6Crunch4WSommaire du match
45 - 2025-11-09323Comets3Checkers1WSommaire du match
47 - 2025-11-11339Comets1Phantoms4LSommaire du match
49 - 2025-11-13354Griffins3Comets1LSommaire du match
51 - 2025-11-15364Thunderbirds3Comets4WSommaire du match
53 - 2025-11-17379Comets3Americans4LXSommaire du match
54 - 2025-11-18395Phantoms1Comets3WSommaire du match
56 - 2025-11-20406Monsters6Comets4LSommaire du match
58 - 2025-11-22421Stars6Comets0LSommaire du match
60 - 2025-11-24436Silver Knights4Comets0LSommaire du match
61 - 2025-11-25443Comets2Bruins1WSommaire du match
64 - 2025-11-28467Comets3Senators4LSommaire du match
66 - 2025-11-30481Crunch2Comets1LSommaire du match
68 - 2025-12-02495Gulls7Comets4LSommaire du match
69 - 2025-12-03508Canucks0Comets4WSommaire du match
72 - 2025-12-06533Comets1Silver Knights4LSommaire du match
74 - 2025-12-08547Comets2Roadrunners4LSommaire du match
76 - 2025-12-10565Americans0Comets4WSommaire du match
78 - 2025-12-12580Comets3Sound Tigers2WXSommaire du match
82 - 2025-12-16592Bears3Comets4WXXSommaire du match
85 - 2025-12-19617Comets2Marlies4LSommaire du match
86 - 2025-12-20627Comets3Monsters1WSommaire du match
89 - 2025-12-23645Roadrunners2Comets4WSommaire du match
90 - 2025-12-24660Wolves4Comets6WSommaire du match
92 - 2025-12-26669Comets2Sound Tigers1WXXSommaire du match
94 - 2025-12-28687Comets3Penguins4LXSommaire du match
97 - 2025-12-31711Comets2Moose1WSommaire du match
98 - 2026-01-01721Comets2Wild4LSommaire du match
100 - 2026-01-03735Firebirds2Comets5WSommaire du match
103 - 2026-01-06759Wolves3Comets0LSommaire du match
105 - 2026-01-08777Comets3Heat5LSommaire du match
106 - 2026-01-09786Comets1Condors4LSommaire du match
109 - 2026-01-12807Comets1Canucks0WSommaire du match
111 - 2026-01-14820Comets3Firebirds5LSommaire du match
113 - 2026-01-16835Moose2Comets4WSommaire du match
115 - 2026-01-18848Admirals4Comets6WSommaire du match
117 - 2026-01-20866Comets4Senators3WSommaire du match
120 - 2026-01-23887Monsters3Comets4WSommaire du match
122 - 2026-01-25905Sound Tigers1Comets2WSommaire du match
142 - 2026-02-14910Americans3Comets2LXSommaire du match
143 - 2026-02-15922Comets5Penguins2WSommaire du match
145 - 2026-02-17943Comets0Thunderbirds2LSommaire du match
148 - 2026-02-20961Checkers1Comets8WSommaire du match
149 - 2026-02-21971Marlies0Comets2WSommaire du match
152 - 2026-02-24991Wolf Pack2Comets1LSommaire du match
153 - 2026-02-251005Griffins5Comets3LSommaire du match
157 - 2026-03-011032Heat3Comets2LSommaire du match
159 - 2026-03-031050Reign3Comets5WSommaire du match
161 - 2026-03-051064Bruins3Comets5WSommaire du match
163 - 2026-03-071077Comets4Wolf Pack2WSommaire du match
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
165 - 2026-03-091095Comets2Bears4LSommaire du match
169 - 2026-03-131130Comets2Stars4LSommaire du match
171 - 2026-03-151144Comets4Admirals1WSommaire du match
173 - 2026-03-171157Comets2Wolves5LSommaire du match
174 - 2026-03-181171IceHogs3Comets2LSommaire du match
176 - 2026-03-201182Comets3Wolf Pack1WSommaire du match
178 - 2026-03-221194Bears5Comets4LSommaire du match
180 - 2026-03-241212Rocket1Comets2WSommaire du match
181 - 2026-03-251226Comets3Rocket5LSommaire du match
183 - 2026-03-271236Phantoms1Comets3WSommaire du match
185 - 2026-03-291251Penguins2Comets3WSommaire du match
187 - 2026-03-311265Comets4Griffins2WSommaire du match
188 - 2026-04-011279Senators0Comets2WSommaire du match
190 - 2026-04-031292Comets3Bruins4LSommaire du match



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité30002000
Prix des billets2515
Assistance116,45876,351
Assistance PCT94.68%93.11%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
0 4703 - 94.05% 144,459$5,922,808$5000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
2,845,098$ 2,054,400$ 2,054,400$ 750,000$0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 2,095,100$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 0 14,531$ 0$




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