Connexion

Comets
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Samuel Gendron-Mallet | Morale : 50 | Moyenne d’équipe : 58
Prochains matchs #8 vs Oil Kings
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Oil Kings
0-0-0, 0pts
2023-10-11
Comets
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Comets
0-0-0, 0pts
2023-10-14
Oil Kings
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Comets
0-0-0, 0pts
2023-10-17
Phantoms
0-0-0, 0pts
Statistiques d’équipe
N/ASéquenceN/A
0-0-0Fiche domicile0-0-0
0-0-0Fiche visiteur0-0-0
0-0-010 derniers matchs0-0-0
0Buts par match 0
0Buts contre par match 0
0%Pourcentage en avantage numérique0%
0%Pourcentage en désavantage numérique0%
Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralSamuel Gendron-Mallet
DivisionNord
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro19
Équipe Mineure18
Limite contact 37 / 50
Espoirs18


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 moyen
1Brad MaloneXX100.00604761616668686156625461597066050610331600,000$
2Aleksi HeponiemiXX100.00544372715264646359655559645251050600231925,001$
3Joe SnivelyX100.00574468715665636142625563625550050600262900,000$
4Filip Hallander (R)X100.00624570696463626342615659635150050600222764,167$
5Aidan Dudas (R)X100.00534368715365646342605653635150050590222786,667$
6Semyon Der-Arguchintsev (R)X100.00544370715562616359635655645050050590222766,667$
7Mathias Laferriere (R)X100.00604471696263625941585359605150050590221700,000$
8Andre Lee (R)XX100.00654663587061605840515254565050050560221900,000$
9Maksim SushkoX100.00717183647150515049415261514444050550231775,002$
10Ivan Lodnia (R)X100.00534753565554525240505152525050050520231747,500$
11Bulat Shafigullin (R)X100.00444276656157813848293742425454050480222700,000$
12Max GildonX100.00614563666563626040555263595250050600231700,000$
13Markus PhillipsX100.00717381657351534225333659364444050540231796,667$
14Case McCarthy (R)X100.00464597627146613525323044345454050490213650,000$
15Stanislav Demin (R)X100.00515369607140523125272848325050050480222700,000$
Rayé
1Kyle CapobiancoXHO6343727383837468406263666874640506802531,100,000$
MOYENNE D’ÉQUIPE100.0058487166646062544251495654535205057
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 moyen
1Lukas Dostal (R)100.0078717272757574747675745651050680222822,500$
2Troy Grosenick100.00666459636364656265636569620505903311,100,000$
Rayé
1Matthew Villalta (R)100.0072626358666870697067585250050610232620,000$
MOYENNE D’ÉQUIPE100.007266656468697068706866595405063
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire


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
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


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 Recrue Poids Taille Non-échange Disponible pour échange Ballotage forcé Waiver Possible Contrat Type Salaire actuel Salaire moyen restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire annuel 2Salaire annuel 3Salaire annuel 4Salaire annuel 5Salaire annuel 6Salaire annuel 7Salaire annuel 8Salaire annuel 9Salaire annuel 10Lien
Aidan DudasComets (Van)LW222000-06-15Yes161 Lbs5 ft8NoNoNoNo2Pro & Farm786,667$786,667$0$0$No786,667$Lien
Aleksi HeponiemiComets (Van)C/LW231999-01-09No154 Lbs5 ft10NoNoNoNo1Pro & Farm925,001$925,001$0$0$NoLien
Andre LeeComets (Van)C/LW222000-07-26Yes205 Lbs6 ft5NoNoNoNo1Pro & Farm900,000$900,000$0$0$NoLien
Brad Malone (contrat à 1 volet)Comets (Van)C/LW331989-05-20No216 Lbs6 ft2NoNoYesYes1Pro & Farm600,000$600,000$0$0$NoLien
Bulat ShafigullinComets (Van)C221999-12-29Yes161 Lbs6 ft1NoNoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Lien
Case McCarthyComets (Van)D212001-01-09Yes198 Lbs6 ft1NoNoNoNo3Pro & Farm650,000$650,000$0$0$No650,000$650,000$Lien
Filip HallanderComets (Van)C222000-06-29Yes190 Lbs6 ft1NoNoNoNo2Pro & Farm764,167$764,167$0$0$No764,167$Lien
Ivan LodniaComets (Van)RW231999-08-31Yes195 Lbs6 ft0NoNoNoNo1Pro & Farm747,500$747,500$0$0$NoLien
Joe SnivelyComets (Van)LW261996-01-01No174 Lbs5 ft9NoNoYesYes2Pro & Farm900,000$900,000$0$0$No900,000$Lien
Kyle CapobiancoComets (Van)D251997-08-13No201 Lbs6 ft2NoNoYesYes3Pro & Farm1,100,000$1,100,000$0$0$No1,100,000$1,100,000$Lien
Lukas DostalComets (Van)G222000-06-22Yes174 Lbs6 ft2NoNoNoNo2Pro & Farm822,500$822,500$0$0$No822,500$Lien
Maksim SushkoComets (Van)RW231999-02-10No198 Lbs6 ft0NoNoNoNo1Pro & Farm775,002$775,002$0$0$NoLien
Markus PhillipsComets (Van)D231999-03-21No202 Lbs6 ft0NoNoNoNo1Pro & Farm796,667$796,667$0$0$NoLien
Mathias LaferriereComets (Van)C222000-06-27Yes174 Lbs6 ft1NoNoNoNo1Pro & Farm700,000$700,000$0$0$NoLien
Matthew VillaltaComets (Van)G231999-06-03Yes165 Lbs6 ft3NoNoNoNo2Pro & Farm620,000$620,000$0$0$No620,000$Lien
Max GildonComets (Van)D231999-05-17No194 Lbs6 ft3NoNoNoNo1Pro & Farm700,000$700,000$0$0$NoLien
Semyon Der-ArguchintsevComets (Van)C222000-09-15Yes161 Lbs5 ft10NoNoNoNo2Pro & Farm766,667$766,667$0$0$No766,667$Lien
Stanislav DeminComets (Van)D222000-04-04Yes190 Lbs6 ft2NoNoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Lien
Troy Grosenick (contrat à 1 volet)Comets (Van)G331989-08-27No185 Lbs6 ft1NoNoYesYes1Pro & Farm1,100,000$1,100,000$200,000$200,000$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
1923.79184 Lbs6 ft11.63792,325$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joe SnivelyBrad MaloneMaksim Sushko40122
2Aleksi HeponiemiFilip HallanderIvan Lodnia30122
3Aidan DudasMathias LaferriereSemyon Der-Arguchintsev20122
4Andre LeeSemyon Der-ArguchintsevBrad Malone10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Max GildonMarkus Phillips40122
2Case McCarthyStanislav Demin30122
3Andre LeeBulat Shafigullin20122
4Max GildonMarkus Phillips10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Joe SnivelyBrad MaloneMaksim Sushko60122
2Aleksi HeponiemiFilip HallanderIvan Lodnia40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Max GildonMarkus Phillips60122
2Case McCarthyStanislav Demin40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Brad MaloneFilip Hallander60122
2Joe SnivelyAleksi Heponiemi40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Max GildonMarkus Phillips60122
2Case McCarthyStanislav Demin40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Brad Malone60122Max GildonMarkus Phillips60122
2Filip Hallander40122Case McCarthyStanislav Demin40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Brad MaloneFilip Hallander60122
2Joe SnivelyAleksi Heponiemi40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Max GildonMarkus Phillips60122
2Case McCarthyStanislav Demin40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Joe SnivelyBrad MaloneMaksim SushkoMax GildonMarkus Phillips
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Joe SnivelyBrad MaloneMaksim SushkoMax GildonMarkus Phillips
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Mathias Laferriere, Aidan Dudas, Bulat ShafigullinMathias Laferriere, Aidan DudasBulat Shafigullin
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Case McCarthy, Stanislav Demin, Max GildonCase McCarthyStanislav Demin, Max Gildon
Tirs de pénalité
Brad Malone, Filip Hallander, Joe Snively, Aleksi Heponiemi, Mathias Laferriere
Gardien
#1 : Lukas Dostal, #2 : Troy Grosenick


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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total pour les joueurs
Matchs jouésPointsSéquenceButsPassesPointsTirs pourTirs contreTirs bloquésMinutes de pénalitésMises en échecButs en filet désertBlanchissages
00N/A0000000000
Tous les matchs
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs locaux
GPWLOTWOTL SOWSOLGFGA
000000000
Matchs extérieurs
GPWLOTWOTL SOWSOLGFGA
000000000
Derniers 10 matchs
WLOTWOTL SOWSOL
000000
Tentatives en avantage numériqueButs en avantage numérique% en avantage numériqueTentatives en désavantage numériqueButs contre en désavantage numérique% en désavantage numériqueButs pour en désavantage numérique
000%000%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
00000000
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
000%000%000%
Temps avec la rondelle
En zone offensiveContrôle en zone offensiveEn zone défensiveContrôle en zone défensiveEn zone neutreContrôle en zone neutre
000000


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
2 - 2023-10-118Oil Kings-Comets-
5 - 2023-10-1431Comets-Oil Kings-
8 - 2023-10-1742Comets-Phantoms-
10 - 2023-10-1955Comets-Thunder-
12 - 2023-10-2168Comets-Cabaret Lady Mary Ann-
15 - 2023-10-2495Comets-Chill-
18 - 2023-10-27116Chiefs-Comets-
19 - 2023-10-28124Wolf Pack-Comets-
22 - 2023-10-31140Chill-Comets-
24 - 2023-11-02156Comets-Sharks-
26 - 2023-11-04172Stars-Comets-
28 - 2023-11-06179Oil Kings-Comets-
31 - 2023-11-09197Comets-Senators-
33 - 2023-11-11215Comets-Marlies-
34 - 2023-11-12224Comets-Rocket-
37 - 2023-11-15241Sound Tigers-Comets-
38 - 2023-11-16247Comets-Heat-
40 - 2023-11-18265Seattle-Comets-
42 - 2023-11-20278Sharks-Comets-
44 - 2023-11-22292Comets-Monsters-
46 - 2023-11-24307Comets-Seattle-
47 - 2023-11-25313Comets-Sharks-
50 - 2023-11-28336Admirals-Comets-
52 - 2023-11-30353Las Vegas-Comets-
54 - 2023-12-02368Comets-Heat-
57 - 2023-12-05387Spiders-Comets-
59 - 2023-12-07404Minnesota-Comets-
61 - 2023-12-09419Caroline-Comets-
64 - 2023-12-12438Thunder-Comets-
66 - 2023-12-14454Cabaret Lady Mary Ann-Comets-
68 - 2023-12-16461Comets-Minnesota-
69 - 2023-12-17474Comets-Baby Hawks-
71 - 2023-12-19491Comets-Chill-
73 - 2023-12-21505Comets-Stars-
75 - 2023-12-23527Sharks-Comets-
80 - 2023-12-28543Phantoms-Comets-
85 - 2024-01-02584Senators-Comets-
87 - 2024-01-04596Comets-Chiefs-
89 - 2024-01-06612Comets-Spiders-
91 - 2024-01-08621Comets-Wolf Pack-
92 - 2024-01-09628Comets-Sound Tigers-
94 - 2024-01-11643Comets-Manchots-
96 - 2024-01-13654Comets-Crunch-
98 - 2024-01-15673Comets-Monsters-
101 - 2024-01-18700Jayhawks-Comets-
103 - 2024-01-20710Marlies-Comets-
105 - 2024-01-22728Baby Hawks-Comets-
107 - 2024-01-24744Chiefs-Comets-
110 - 2024-01-27771Monsters-Comets-
120 - 2024-02-06785Comets-Caroline-
122 - 2024-02-08794Comets-Bruins-
124 - 2024-02-10805Comets-Cougars-
125 - 2024-02-11818Comets-Bears-
127 - 2024-02-13832Comets-Baby Hawks-
129 - 2024-02-15848Cougars-Comets-
131 - 2024-02-17860Oceanics-Comets-
133 - 2024-02-19869Comets-Minnesota-
134 - 2024-02-20881Comets-Monsters-
136 - 2024-02-22897Comets-Seattle-
138 - 2024-02-24907Bruins-Comets-
141 - 2024-02-27937Manchots-Comets-
143 - 2024-02-29951Monarchs-Comets-
146 - 2024-03-03973Comets-Admirals-
148 - 2024-03-05988Comets-Monarchs-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
150 - 2024-03-071002Comets-Las Vegas-
152 - 2024-03-091019Oceanics-Comets-
156 - 2024-03-131044Monsters-Comets-
159 - 2024-03-161071Bears-Comets-
162 - 2024-03-191093Crunch-Comets-
164 - 2024-03-211106Rocket-Comets-
166 - 2024-03-231120Heat-Comets-
168 - 2024-03-251135Monarchs-Comets-
171 - 2024-03-281163Stars-Comets-
174 - 2024-03-311180Admirals-Comets-
176 - 2024-04-021196Comets-Las Vegas-
177 - 2024-04-031200Comets-Jayhawks-
180 - 2024-04-061226Comets-Monarchs-
182 - 2024-04-081238Las Vegas-Comets-
184 - 2024-04-101254Jayhawks-Comets-
187 - 2024-04-131280Comets-Oil Kings-
190 - 2024-04-161302Heat-Comets-
192 - 2024-04-181308Comets-Oceanics-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets5020
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,335,418$ 1,335,418$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
6,955$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 192 6,955$ 1,335,360$




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