Connexion

Comets
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Samuel Gendron-Mallet | Morale : 50 | Moyenne d’équipe : 56
Prochains matchs #10 vs Oil Kings
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Comets
0-0-0, 0pts
2022-10-12
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
2022-10-15
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%
Comets
0-0-0, 0pts
2022-10-17
Bears
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 Pro21
Équipe Mineure18
Limite contact 39 / 50
Espoirs11


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
1Sheldon RempalXX100.00656076626068687150667262684545050610261700,000$
2Brett RitchieX100.00845980778355636031525858256767050600282850,000$
3Aleksi HeponiemiXX100.00655785725763646250635659534545050580222925,001$
4Givani SmithXX100.00849942718151695644575961255555050580232750,000$
5Filip Hallander (R)XX100.00777288697258595771515964564444050570213764,167$
6Semyon Der-Arguchintsev (R)X100.00696089686054526278596161584444050570213766,667$
7Aidan Dudas (R)X100.00675791655763665569505658534444050550213786,667$
8Maksim SushkoX100.00757185657154555350455662534444050540222775,002$
9Ivan Lodnia (R)X100.00756794616746464950454861464444050510222747,500$
10Bulat Shafigullin (R)X100.00474278666162884049314043445454050480213700,000$
11Jack JohnsonX100.007759837482716958254947856186860506903411,300,000$
12Erik GustafssonX100.007142918165697076255948647567690506502933,300,000$
13Timothy LiljegrenX100.00794492787070676325644976255353050650221863,333$
14Brett LernoutX100.00788084638047484725403666365555050560261750,000$
15Max GildonX100.00787391707350514725384162394444050550222700,000$
16Markus PhillipsX100.00767383667355584525363960374444050550222796,667$
17Case McCarthy (R)X100.00494599637150663725353345355454050500204650,000$
Rayé
1Kyle CapobiancoX100.007543767372696165255248702552520506202441,100,000$
2Stanislav Demin (R)X100.00545370617143573325293049335050050480213700,000$
MOYENNE D’ÉQUIPE100.0071618369705862554048496145525205057
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
1Matthew Villalta (R)100.0050405070535050555252304444050510221778,333$
Rayé
1Matej Tomek (R)100.0036434066353435333333323228050380241650,000$
MOYENNE D’ÉQUIPE100.004342456844424344434331383605045
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 Nouveau joueur Poids Taille Non-échange Disponible pour échange Ballotage forcé 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 10Link
Aidan DudasComets (Van)C212000-06-15Yes162 Lbs5 ft8NoNoNo3Pro & Farm786,667$786,667$78,667$78,667$No786,667$786,667$Lien
Aleksi HeponiemiComets (Van)LW/RW221999-01-08No155 Lbs5 ft10NoNoNo2Pro & Farm925,001$925,001$92,500$92,500$No925,001$Lien
Brett LernoutComets (Van)D261995-09-23No214 Lbs6 ft4NoNoNo1Pro & Farm750,000$750,000$75,000$75,000$NoLien
Brett RitchieComets (Van)RW281993-06-30No220 Lbs6 ft4NoNoNo2Pro & Farm850,000$850,000$85,000$85,000$No850,000$Lien
Bulat ShafigullinComets (Van)C211999-12-29Yes161 Lbs6 ft1NoNoNo3Pro & Farm700,000$700,000$70,000$70,000$No700,000$700,000$Lien
Case McCarthyComets (Van)D202001-01-09Yes198 Lbs6 ft1NoNoNo4Pro & Farm650,000$650,000$65,000$65,000$No650,000$650,000$650,000$Lien
Erik GustafssonComets (Van)D291992-03-14No176 Lbs6 ft0NoNoNo3Pro & Farm3,300,000$3,300,000$330,000$330,000$No3,300,000$3,300,000$Lien
Filip HallanderComets (Van)C/LW212000-06-29Yes196 Lbs6 ft1NoNoNo3Pro & Farm764,167$764,167$76,417$76,417$No764,167$764,167$Lien
Givani SmithComets (Van)LW/RW231998-02-27No210 Lbs6 ft2NoNoNo2Pro & Farm750,000$750,000$75,000$75,000$No750,000$Lien
Ivan LodniaComets (Van)RW221999-08-31Yes187 Lbs5 ft11NoNoNo2Pro & Farm747,500$747,500$74,750$74,750$No747,500$Lien
Jack JohnsonComets (Van)D341987-01-13No227 Lbs6 ft1NoNoNo1Pro & Farm1,300,000$1,300,000$130,000$130,000$NoLien
Kyle CapobiancoComets (Van)D241997-08-13No196 Lbs6 ft1NoNoNo4Pro & Farm1,100,000$1,100,000$110,000$110,000$No1,100,000$1,100,000$1,100,000$Lien
Maksim SushkoComets (Van)RW221999-02-10No198 Lbs6 ft0NoNoNo2Pro & Farm775,002$775,002$77,500$77,500$No775,002$Lien
Markus PhillipsComets (Van)D221999-03-21No202 Lbs6 ft0NoNoNo2Pro & Farm796,667$796,667$79,667$79,667$No796,667$Lien
Matej TomekComets (Van)G241997-05-24Yes180 Lbs6 ft3YesNoNo1Pro & Farm650,000$650,000$65,000$65,000$NoLien
Matthew VillaltaComets (Van)G221999-06-03Yes165 Lbs6 ft4NoNoNo1Pro & Farm778,333$778,333$77,833$77,833$NoLien
Max GildonComets (Van)D221999-05-17No194 Lbs6 ft3NoNoNo2Pro & Farm700,000$700,000$70,000$70,000$No700,000$Lien
Semyon Der-ArguchintsevComets (Van)C212000-09-15Yes165 Lbs5 ft10NoNoNo3Pro & Farm766,667$766,667$76,667$76,667$No766,667$766,667$Lien
Sheldon RempalComets (Van)LW/RW261995-08-07No165 Lbs5 ft10NoNoNo1Pro & Farm700,000$700,000$70,000$70,000$NoLien
Stanislav DeminComets (Van)D212000-04-04Yes190 Lbs6 ft2NoNoNo3Pro & Farm700,000$700,000$70,000$70,000$No700,000$700,000$Lien
Timothy LiljegrenComets (Van)D221999-04-30No192 Lbs6 ft0NoNoNo1Pro & Farm863,333$863,333$86,333$86,333$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2123.48188 Lbs6 ft12.19921,587$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
2Ivan Lodnia30122
3Aidan DudasMaksim Sushko20122
410122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
140122
2Timothy Liljegren30122
3Markus PhillipsMax Gildon20122
410122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
2Ivan Lodnia40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Timothy Liljegren40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
2Ivan LodniaMaksim Sushko40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Timothy Liljegren40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
16012260122
240122Timothy Liljegren40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
2Ivan LodniaMaksim Sushko40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
160122
2Timothy Liljegren40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Bulat Shafigullin, Semyon Der-Arguchintsev, Aidan DudasBulat Shafigullin, Semyon Der-ArguchintsevAidan Dudas
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Markus Phillips, Max Gildon, Markus PhillipsMax Gildon,
Tirs de pénalité
, , Ivan Lodnia, Maksim Sushko,
Gardien
#1 : , #2 :


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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%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
000.00%000.00%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
000.00%000.00%000.00%
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
6 - 2022-10-1210Comets-Oil Kings-
9 - 2022-10-1526Comets-Phantoms-
11 - 2022-10-1743Comets-Bears-
12 - 2022-10-1850Comets-Monsters-
14 - 2022-10-2067Comets-Minnesota-
16 - 2022-10-2284Crunch-Comets-
18 - 2022-10-2497Caroline-Comets-
21 - 2022-10-27118Comets-Seattle-
22 - 2022-10-28125Manchots-Comets-
26 - 2022-11-01157Spiders-Comets-
28 - 2022-11-03171Admirals-Comets-
30 - 2022-11-05186Chill-Comets-
33 - 2022-11-08200Comets-Senators-
34 - 2022-11-09209Comets-Rocket-
37 - 2022-11-12230Comets-Marlies-
38 - 2022-11-13241Comets-Bruins-
40 - 2022-11-15252Comets-Crunch-
43 - 2022-11-18273Monarchs-Comets-
46 - 2022-11-21300Las Vegas-Comets-
48 - 2022-11-23317Comets-Monsters-
51 - 2022-11-26340Comets-Las Vegas-
52 - 2022-11-27344Comets-Sharks-
54 - 2022-11-29359Bears-Comets-
56 - 2022-12-01373Cabaret Lady Mary Ann-Comets-
58 - 2022-12-03388Jayhawks-Comets-
60 - 2022-12-05402Rocket-Comets-
62 - 2022-12-07418Comets-Sharks-
65 - 2022-12-10441Minnesota-Comets-
69 - 2022-12-14468Comets-Heat-
72 - 2022-12-17495Oceanics-Comets-
74 - 2022-12-19509Chiefs-Comets-
77 - 2022-12-22530Seattle-Comets-
78 - 2022-12-23542Comets-Oil Kings-
82 - 2022-12-27556Sharks-Comets-
84 - 2022-12-29570Comets-Oceanics-
86 - 2022-12-31587Comets-Heat-
89 - 2023-01-03607Sound Tigers-Comets-
91 - 2023-01-05619Monsters-Comets-
94 - 2023-01-08638Comets-Oceanics-
96 - 2023-01-10652Comets-Manchots-
98 - 2023-01-12667Comets-Thunder-
100 - 2023-01-14684Comets-Cabaret Lady Mary Ann-
101 - 2023-01-15692Comets-Caroline-
104 - 2023-01-18714Thunder-Comets-
106 - 2023-01-20731Monsters-Comets-
107 - 2023-01-21744Oil Kings-Comets-
110 - 2023-01-24765Baby Hawks-Comets-
111 - 2023-01-25770Comets-Seattle-
113 - 2023-01-27787Monsters-Comets-
123 - 2023-02-06810Comets-Spiders-
125 - 2023-02-08819Comets-Wolf Pack-
126 - 2023-02-09826Comets-Sound Tigers-
128 - 2023-02-11832Comets-Cougars-
130 - 2023-02-13853Cougars-Comets-
132 - 2023-02-15869Wolf Pack-Comets-
135 - 2023-02-18890Phantoms-Comets-
138 - 2023-02-21914Comets-Chill-
140 - 2023-02-23926Comets-Chiefs-
142 - 2023-02-25938Bruins-Comets-
144 - 2023-02-27955Comets-Stars-
147 - 2023-03-02981Minnesota-Comets-
149 - 2023-03-04994Marlies-Comets-
151 - 2023-03-061010Chill-Comets-
153 - 2023-03-081024Admirals-Comets-
156 - 2023-03-111050Senators-Comets-
159 - 2023-03-141073Stars-Comets-
161 - 2023-03-161088Comets-Jayhawks-
163 - 2023-03-181104Comets-Monarchs-
164 - 2023-03-191114Comets-Admirals-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
166 - 2023-03-211132Las Vegas-Comets-
168 - 2023-03-231145Sharks-Comets-
170 - 2023-03-251158Comets-Stars-
171 - 2023-03-261168Comets-Baby Hawks-
173 - 2023-03-281181Comets-Chiefs-
176 - 2023-03-311202Heat-Comets-
178 - 2023-04-021224Monarchs-Comets-
180 - 2023-04-041238Seattle-Comets-
182 - 2023-04-061254Baby Hawks-Comets-
184 - 2023-04-081270Heat-Comets-
186 - 2023-04-101284Comets-Monarchs-
187 - 2023-04-111294Comets-Admirals-
189 - 2023-04-131311Comets-Jayhawks-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3015
Assistance0.00%0.00%
Assistance PCT0.00%0.00%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
41 0 - 0.00%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursSalaire total moyen des joueursSalaire des entraineurs
0$ 1,935,334$ 1,935,334$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
10,186$ 0$ 21 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 190 10,186$ 1,935,340$




Comets Leaders statistiques (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 (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