Connexion

Heat
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: Martin Bétit | Morale : 50 | Moyenne d’équipe : 51
Prochains matchs #18 vs Monsters
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Monsters
0-0-0, 0pts
2022-10-13
Heat
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%
Heat
0-0-0, 0pts
2022-10-15
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%
Las Vegas
0-0-0, 0pts
2022-10-18
Heat
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 généralMartin Bétit
DivisionWest
ConférenceOuest
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison300


Informations de la formation

Équipe Pro23
Équipe Mineure17
Limite contact 40 / 50
Espoirs14


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
1Ryan PoehlingXX100.00694396747362726976627068255555050640221925,000$
2Cody GlassXX100.00814499847259837267615559755354050630222863,335$
3Adam GaudetteXXX100.007754907765597566476359647563630506202511,800,000$
4Mikhail MaltsevXX100.00824596747451806673505568254949050600232750,000$
5Charles HudonXX100.00706876636857556650606863654444050590271750,000$
6Ryan MacInnisXX100.00787781647761626075575866554646050590251850,000$
7Grigori Denisenko (R)XX100.00746791786753516150566163584444050580213925,000$
8Riley TufteX100.00734587688948765744505966254444050580232950,000$
9Hudson FaschingX100.00804499657455625525505567755555050570263600,000$
10Alexander Campbell (R)X100.00393099705561774848414739495454050500204700,000$
11John Farinacci (R)X100.00484399656954694353364243445454050480204700,000$
12Alexandr Darin (R)X100.00443799656250673647313438365858050450214650,000$
13Jacob MoverareX100.00714396687470645725494776254545050620233900,000$
14Nicolas BeaudinX100.00666372666368744825404057384646050550212894,168$
15Julius Honka (R)X100.00696688666651534725393859384444050530251950,000$
16Ryan Johnson (R)X100.00443899646356793625372941305454050490204825,000$
17Mattias Norlinder (R)X100.00474199626745623125273042325858050470214700,000$
Rayé
1Aapeli Rasanen (R)X100.003137373767292931373030373332300503402300$
2Cole Ully (R)XX100.002937373746252529372828373132300503202600$
3Anthony Florentino (R)X100.00293737377625252937282837313230050350261560,000$
4Ryan Pilon (R)X100.00303737376827273037292937323230050350241600,000$
MOYENNE D’ÉQUIPE100.0059478263685160494444465443474705052
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
1Michael Dipietro (R)100.0049415173514950545151304444050510221792,500$
2Dylan Garand (R)100.0044526467394249494243294441050470193650,000$
Rayé
MOYENNE D’ÉQUIPE100.004747587045465052474730444305049
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
Aapeli RasanenHeat (Cal)C231998-06-01Yes196 Lbs6 ft0NoNoNo0Pro & Farm0$0$NoLien
Adam GaudetteHeat (Cal)C/LW/RW251996-10-02No170 Lbs6 ft1NoNoNo1Pro & Farm1,800,000$1,800,000$180,000$180,000$NoLien
Alexander CampbellHeat (Cal)LW202001-02-27Yes150 Lbs5 ft10NoNoNo4Pro & Farm700,000$700,000$70,000$70,000$No700,000$700,000$700,000$Lien
Alexandr DarinHeat (Cal)RW212000-08-16Yes170 Lbs5 ft11NoNoNo4Pro & Farm650,000$650,000$65,000$65,000$No650,000$650,000$650,000$Lien
Anthony FlorentinoHeat (Cal)D261995-01-30Yes227 Lbs6 ft1NoNoNo1Pro & Farm560,000$560,000$56,000$56,000$NoLien
Charles HudonHeat (Cal)LW/RW271994-06-23No190 Lbs5 ft10NoNoNo1Pro & Farm750,000$750,000$75,000$75,000$NoLien
Cody GlassHeat (Cal)C/RW221999-04-01No192 Lbs6 ft2NoNoNo2Pro & Farm863,335$863,335$86,334$86,334$No863,335$Lien
Cole UllyHeat (Cal)LW/RW261995-02-20Yes164 Lbs5 ft10NoNoNo0Pro & Farm0$0$NoLien
Dylan GarandHeat (Cal)G192002-06-07Yes179 Lbs6 ft1NoNoNo3Pro & Farm650,000$650,000$65,000$65,000$No650,000$650,000$Lien
Grigori DenisenkoHeat (Cal)LW/RW212000-06-24Yes186 Lbs5 ft11NoNoNo3Pro & Farm925,000$925,000$92,500$92,500$No925,000$925,000$Lien
Hudson FaschingHeat (Cal)RW261995-07-28No204 Lbs6 ft1NoNoNo3Pro & Farm600,000$600,000$60,000$60,000$No600,000$600,000$Lien
Jacob MoverareHeat (Cal)D231998-08-31No198 Lbs6 ft3NoNoNo3Pro & Farm900,000$900,000$90,000$90,000$No900,000$900,000$Lien
John FarinacciHeat (Cal)C202001-02-14Yes190 Lbs6 ft0NoNoNo4Pro & Farm700,000$700,000$70,000$70,000$No700,000$700,000$700,000$Lien
Julius HonkaHeat (Cal)D251995-12-03Yes180 Lbs5 ft11NoNoNo1Pro & Farm950,000$950,000$95,000$95,000$NoLien
Mattias NorlinderHeat (Cal)D212000-04-12Yes185 Lbs6 ft0NoNoNo4Pro & Farm700,000$700,000$70,000$70,000$No700,000$700,000$700,000$Lien
Michael DipietroHeat (Cal)G221999-06-08Yes200 Lbs6 ft0NoNoNo1Pro & Farm792,500$792,500$79,250$79,250$NoLien
Mikhail MaltsevHeat (Cal)C/LW231998-03-12No198 Lbs6 ft3NoNoNo2Pro & Farm750,000$750,000$75,000$75,000$No750,000$Lien
Nicolas BeaudinHeat (Cal)D211999-10-07No174 Lbs5 ft11NoNoNo2Pro & Farm894,168$894,168$89,417$89,417$No894,168$Lien
Riley TufteHeat (Cal)LW231998-04-10No235 Lbs6 ft6NoNoNo2Pro & Farm950,000$950,000$95,000$95,000$No950,000$Lien
Ryan JohnsonHeat (Cal)D202001-07-24Yes170 Lbs6 ft0NoNoNo4Pro & Farm825,000$825,000$82,500$82,500$No825,000$825,000$825,000$Lien
Ryan MacInnisHeat (Cal)C/LW251996-02-14No201 Lbs6 ft4NoNoNo1Pro & Farm850,000$850,000$85,000$85,000$NoLien
Ryan PilonHeat (Cal)D241996-10-10Yes206 Lbs6 ft2NoNoNo1Pro & Farm600,000$600,000$60,000$60,000$NoLien
Ryan PoehlingHeat (Cal)C/LW221999-01-03No197 Lbs6 ft2NoNoNo1Pro & Farm925,000$925,000$92,500$92,500$NoLien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2322.83190 Lbs6 ft12.09753,696$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
140122
230122
320122
4Grigori Denisenko10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Julius Honka40122
2Grigori Denisenko30122
320122
4Julius Honka10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
160122
240122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Julius Honka60122
2Grigori Denisenko40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Julius Honka60122
240122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
160122Julius Honka60122
24012240122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
160122
240122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Julius Honka60122
240122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Julius Honka
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Julius Honka
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
, , ,
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
, , Julius Honka, Julius Honka
Tirs de pénalité
, , , ,
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
7 - 2022-10-1318Monsters-Heat-
9 - 2022-10-1537Heat-Oil Kings-
12 - 2022-10-1855Las Vegas-Heat-
14 - 2022-10-2068Crunch-Heat-
16 - 2022-10-2286Caroline-Heat-
19 - 2022-10-25104Manchots-Heat-
23 - 2022-10-29138Oil Kings-Heat-
26 - 2022-11-01155Seattle-Heat-
28 - 2022-11-03169Chill-Heat-
30 - 2022-11-05187Spiders-Heat-
32 - 2022-11-07193Heat-Sound Tigers-
33 - 2022-11-08197Heat-Spiders-
35 - 2022-11-10211Heat-Bruins-
37 - 2022-11-12236Oceanics-Heat-
39 - 2022-11-14245Monarchs-Heat-
42 - 2022-11-17260Heat-Thunder-
44 - 2022-11-19275Heat-Cabaret Lady Mary Ann-
46 - 2022-11-21292Heat-Phantoms-
48 - 2022-11-23306Heat-Manchots-
50 - 2022-11-25322Heat-Bears-
51 - 2022-11-26333Heat-Caroline-
54 - 2022-11-29358Cabaret Lady Mary Ann-Heat-
56 - 2022-12-01372Rocket-Heat-
58 - 2022-12-03390Bears-Heat-
60 - 2022-12-05401Jayhawks-Heat-
62 - 2022-12-07414Minnesota-Heat-
64 - 2022-12-09424Heat-Monsters-
65 - 2022-12-10438Heat-Marlies-
67 - 2022-12-12448Heat-Rocket-
69 - 2022-12-14468Comets-Heat-
71 - 2022-12-16482Chiefs-Heat-
73 - 2022-12-18501Heat-Sharks-
75 - 2022-12-20517Heat-Sharks-
77 - 2022-12-22531Heat-Monarchs-
78 - 2022-12-23544Heat-Admirals-
82 - 2022-12-27555Oil Kings-Heat-
83 - 2022-12-28561Heat-Seattle-
86 - 2022-12-31587Comets-Heat-
89 - 2023-01-03603Heat-Oceanics-
92 - 2023-01-06626Sound Tigers-Heat-
94 - 2023-01-08641Heat-Baby Hawks-
96 - 2023-01-10655Heat-Chiefs-
98 - 2023-01-12670Heat-Chiefs-
100 - 2023-01-14677Heat-Stars-
102 - 2023-01-16703Heat-Chill-
104 - 2023-01-18715Monsters-Heat-
107 - 2023-01-21733Thunder-Heat-
109 - 2023-01-23754Monsters-Heat-
112 - 2023-01-26777Baby Hawks-Heat-
113 - 2023-01-27786Heat-Seattle-
123 - 2023-02-06809Heat-Wolf Pack-
126 - 2023-02-09825Heat-Cougars-
128 - 2023-02-11833Heat-Crunch-
130 - 2023-02-13850Heat-Senators-
133 - 2023-02-16875Cougars-Heat-
135 - 2023-02-18891Wolf Pack-Heat-
137 - 2023-02-20905Phantoms-Heat-
139 - 2023-02-22919Heat-Jayhawks-
140 - 2023-02-23928Heat-Las Vegas-
142 - 2023-02-25945Heat-Monsters-
145 - 2023-02-28965Bruins-Heat-
147 - 2023-03-02979Marlies-Heat-
149 - 2023-03-04999Minnesota-Heat-
151 - 2023-03-061008Heat-Stars-
152 - 2023-03-071018Heat-Minnesota-
155 - 2023-03-101037Admirals-Heat-
157 - 2023-03-121058Senators-Heat-
159 - 2023-03-141072Heat-Jayhawks-
161 - 2023-03-161087Heat-Las Vegas-
163 - 2023-03-181105Stars-Heat-
165 - 2023-03-201119Heat-Monarchs-
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée!
166 - 2023-03-211131Heat-Admirals-
168 - 2023-03-231144Las Vegas-Heat-
170 - 2023-03-251154Sharks-Heat-
173 - 2023-03-281183Monarchs-Heat-
176 - 2023-03-311202Heat-Comets-
178 - 2023-04-021225Admirals-Heat-
180 - 2023-04-041236Baby Hawks-Heat-
181 - 2023-04-051240Heat-Oceanics-
184 - 2023-04-081270Heat-Comets-
186 - 2023-04-101282Chill-Heat-
188 - 2023-04-121297Sharks-Heat-



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
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$ 1,733,501$ 1,733,501$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
9,124$ 0$ 21 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 190 9,124$ 1,733,560$




Heat 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

Heat 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

Heat 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

Heat 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

Heat 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