Connexion

Heat
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
DG: boud | Morale : 40 | Moyenne d’équipe : 58
Prochain matchs #18 vs Eagles
La résolution de votre navigateur est trop petite pour cette page. Plusieurs informations sont cachées pour garder la page lisible.

Eagles
0-0-0, 0pts
2022-09-15
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
0.00Buts par match 0.00
0.00Buts contre par match 0.00
0.00%Pourcentage en avantage numérique0.00%
0.00%Pourcentage en désavantage numérique0.00%
Heat
0-0-0, 0pts
2022-09-17
Condors
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
0.00Buts par match 0.00
0.00Buts contre par match 0.00
0.00%Pourcentage en avantage numérique0.00%
0.00%Pourcentage en désavantage numérique0.00%
Silver Knights
0-0-0, 0pts
2022-09-20
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
0.00Buts par match 0.00
0.00Buts contre par match 0.00
0.00%Pourcentage en avantage numérique0.00%
0.00%Pourcentage en désavantage numérique0.00%
Meneurs d'équipe

Statistiques d’équipe
Buts pour
0
0.00 GFG
Tirs pour
0
0.00 Avg
Pourcentage en avantage numérique
0.0%
0 GF
Début de zone offensive
0.0%
Buts contre
0
0.00 GAA
Tirs contre
0
0.00 Avg
Pourcentage en désavantage numérique
0.0%
0 GA
Début de la zone défensive
0.0%
Information d’équipe

Directeur généralboud
EntraîneurBob Woods
DivisionPacific Division
ConférenceWestern Conference
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance0
Billets de saison0


Information formation

Équipe Pro28
Équipe Mineure18
Limite contact 46 / 90
Espoirs35


Historique d'équipe

Saison actuelle0-0-0 (0PTS)
Historique62-70-22 (0.403%)
Apparitions séries éliminatoires 0
Historique séries éliminatoires (W-L)-
Stanley Cup0


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
1Jack McBain (R)0X100.00994589668583475759616769645063040620222925,000$
2Nicolas Deslauriers0X100.00997082588877775651616165615872040620313900,000$
3Arthur Kaliyev0X100.00544884628780796240666662695362040610212925,000$
4Jesse Ylonen0X100.00533784707678446340706462625060040600232850,000$
5Joe Snively0XX100.00513978667660436946706860645262040600261752,500$
6Mark Kastelic (R)0X100.00996377568760595785626164615265040590231750,000$
7Zack MacEwen0X100.00916678588674715355615765595366040590262950,000$
8Otto Koivula0XX100.00705176539260516354696059605565040580242800,000$
9Jordan Harris (R)0X100.00704085627878425620586772645060040610222925,000$
10Kevin Bahl0X100.00835876509460556820646068605364040610222850,000$
11Connor Mackey0X100.00776075578560477420706166615363040610262800,000$
12Grant Hutton0X100.00684778548760506820626566635564040600271800,000$
13Jesper Sellgren (R)0X100.00504275568060516820646068605865040590241850,000$
14Libor Hajek0X100.00544782548668386720625670585363040590242900,000$
15Wyatte Wylie (R)0X100.00504375548160436620636068605161040570222750,000$
16Linus Hogberg (R)0X100.00503976577960516520625667585161040570241750,000$
17Tobias Geisser0X100.00504575518660466520625768595463040570231800,000$
18Chad Krys0X100.00504175558060226620635768595161040560242925,000$
Rayé
1Alex Turcotte (R)0X100.00704177597960375754645960605262040560212925,000$
2Jamieson Rees (R)0X100.00504375597760395660635862595564040550212925,000$
3Ryan Suzuki (R)0X100.00504375568260125660626062605161040540212925,000$
4Carsen Twarynski0X100.00504575528460495240615662585464040540242850,000$
5Stelio Mattheos0X100.00505075528460375140615562585966040540232800,000$
6Shawn Element (R)0XXX100.00506475538260245160605662585161040530222800,000$
MOYENNE D’ÉQUIPE100.0064497857836546613963606561536304058
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 SP
1Connor Ingram100.0068747185717268737270717169040700
2Joel Hofer100.0063706788676764676764666667040660
Rayé
1Samuel Harvey (R)100.0049625983525350545350527068040560
2Tomas Vomacka (R)100.0039565386434342434339426867040500
MOYENNE D’ÉQUIPE100.005566638658595659595658696804061
Nom de l’entraîneur PH DF OF PD EX LD PO CNT Âge Contrat Salaire
Bob Woods75757575757575CAN538500,000$


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
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 restantSalaire moyenSalaire 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
Alex TurcotteHeat (CGY)C212/26/2001Yes185 Lbs5 ft11NoNoNo2Pro & Farm925,000$915,212$925,000$915,212$0$0$No925,000$Lien
Arthur KaliyevHeat (CGY)RW216/26/2001No210 Lbs6 ft2NoNoNo2Pro & Farm925,000$915,212$925,000$915,212$0$0$No925,000$Lien
Carsen TwarynskiHeat (CGY)LW2411/24/1997No198 Lbs6 ft2NoNoNo2Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$Lien
Chad KrysHeat (CGY)D244/10/1998No185 Lbs6 ft0NoNoNo2Pro & Farm925,000$915,212$925,000$915,212$0$0$No925,000$Lien
Connor IngramHeat (CGY)G253/31/1997No196 Lbs6 ft2NoNoNo1Pro & Farm850,000$841,005$850,000$841,005$0$0$NoLien
Connor Mackey (contrat à 1 volet)Heat (CGY)D269/12/1996No201 Lbs6 ft2NoNoNo2Pro & Farm800,000$791,534$800,000$791,534$0$0$No800,000$Lien
Grant HuttonHeat (CGY)D277/25/1995No207 Lbs6 ft4NoNoNo1Pro & Farm800,000$791,534$800,000$791,534$0$0$NoLien
Jack McBainHeat (CGY)C221/6/2000Yes201 Lbs6 ft3NoNoNo2Pro & Farm925,000$915,212$925,000$915,212$0$0$No925,000$Lien
Jamieson ReesHeat (CGY)C212/26/2001Yes172 Lbs5 ft11NoNoNo2Pro & Farm925,000$915,212$925,000$915,212$0$0$No925,000$Lien
Jesper SellgrenHeat (CGY)D246/11/1998Yes186 Lbs5 ft11NoNoNo1Pro & Farm850,000$841,005$850,000$841,005$0$0$NoLien
Jesse YlonenHeat (CGY)RW2310/3/1999No167 Lbs6 ft0NoNoNo2Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$Lien
Joe SnivelyHeat (CGY)C/LW261/1/1996No176 Lbs5 ft9NoNoNo1Pro & Farm752,500$744,537$752,500$744,537$0$0$NoLien
Joel HoferHeat (CGY)G227/1/2000No172 Lbs6 ft5NoNoNo2Pro & Farm800,000$791,534$800,000$791,534$0$0$No800,000$Lien
Jordan HarrisHeat (CGY)D227/7/2000Yes179 Lbs5 ft11NoNoNo2Pro & Farm925,000$915,212$925,000$915,212$0$0$No925,000$Lien
Kevin BahlHeat (CGY)D226/27/2000No230 Lbs6 ft6NoNoNo2Pro & Farm850,000$841,005$850,000$841,005$0$0$No850,000$Lien
Libor HajekHeat (CGY)D242/4/1998No206 Lbs6 ft3NoNoNo2Pro & Farm900,000$890,476$900,000$890,476$0$0$No900,000$Lien
Linus HogbergHeat (CGY)D249/4/1998Yes176 Lbs6 ft1NoNoNo1Pro & Farm750,000$742,063$750,000$742,063$0$0$NoLien
Mark KastelicHeat (CGY)C233/11/1999Yes210 Lbs6 ft3NoNoNo1Pro & Farm750,000$742,063$750,000$742,063$0$0$NoLien
Nicolas Deslauriers (contrat à 1 volet)Heat (CGY)LW312/22/1991No220 Lbs6 ft1YesNoNo3Pro & Farm900,000$890,476$900,000$890,476$0$0$No900,000$900,000$Lien
Otto KoivulaHeat (CGY)C/LW249/1/1998No225 Lbs6 ft5NoNoNo2Pro & Farm800,000$791,534$800,000$791,534$0$0$No800,000$Lien
Ryan SuzukiHeat (CGY)C215/28/2001Yes190 Lbs6 ft1NoNoNo2Pro & Farm925,000$915,212$925,000$915,212$0$0$No925,000$Lien
Samuel HarveyHeat (CGY)G242/4/1998Yes185 Lbs6 ft0NoNoNo0Pro & Farm0$0$NoLien
Shawn ElementHeat (CGY)C/LW/RW224/23/2000Yes195 Lbs5 ft11NoNoNo2Pro & Farm800,000$791,534$800,000$791,534$0$0$No800,000$Lien
Stelio MattheosHeat (CGY)RW236/14/1999No200 Lbs6 ft1NoNoNo2Pro & Farm800,000$791,534$800,000$791,534$0$0$No800,000$Lien
Tobias GeisserHeat (CGY)D232/13/1999No201 Lbs6 ft4NoNoNo1Pro & Farm800,000$791,534$800,000$791,534$0$0$NoLien
Tomas VomackaHeat (CGY)G235/2/1999Yes185 Lbs6 ft3NoNoNo2Pro & Farm750,000$742,063$750,000$742,063$0$0$No750,000$Lien
Wyatte WylieHeat (CGY)D2211/2/1999Yes190 Lbs6 ft0NoNoNo2Pro & Farm750,000$742,063$750,000$742,063$0$0$No750,000$Lien
Zack MacEwen (contrat à 1 volet)Heat (CGY)C267/8/1996No205 Lbs6 ft3NoNoNo2Pro & Farm950,000$939,947$950,000$939,947$0$0$No950,000$Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2823.57195 Lbs6 ft21.71815,268$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Jack McBainArthur KaliyevJoe Snively40122
2Mark KastelicNicolas DeslauriersJesse Ylonen30122
3Zack MacEwenJoe SnivelyOtto Koivula20122
4Jack McBainMark KastelicNicolas Deslauriers10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin BahlJordan Harris40122
2Linus HogbergConnor Mackey30122
3Grant HuttonWyatte Wylie20122
4Libor HajekJesper Sellgren10122
Attaque en svantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Otto KoivulaJoe SnivelyNicolas Deslauriers60122
2Mark KastelicJack McBainJesse Ylonen40122
Défense en svantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Kevin BahlWyatte Wylie60122
2Linus HogbergJordan Harris40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Joe SnivelyMark Kastelic60122
2Nicolas DeslauriersJack McBain40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Jordan HarrisKevin Bahl60122
2Linus HogbergGrant Hutton40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Joe Snively60122Jordan HarrisConnor Mackey60122
2Nicolas Deslauriers40122Linus HogbergJesper Sellgren40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Joe SnivelyNicolas Deslauriers60122
2Jack McBainZack MacEwen40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wyatte WylieKevin Bahl60122
2Linus HogbergLibor Hajek40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nicolas DeslauriersJack McBainJoe SnivelyKevin BahlJordan Harris
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Nicolas DeslauriersJack McBainJoe SnivelyKevin BahlJordan Harris
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Joe Snively, Nicolas Deslauriers, Otto KoivulaJoe Snively, Nicolas DeslauriersJoe Snively
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Linus Hogberg, Wyatte Wylie, Kevin BahlLinus HogbergWyatte Wylie, Linus Hogberg
Tirs de pénalité
Joe Snively, Nicolas Deslauriers, Otto Koivula, Zack MacEwen, Jack McBain
Gardien
#1 : Connor Ingram, #2 : Joel Hofer
Lignes d’attaque personnalisées en prolongation
Joe Snively, Nicolas Deslauriers, Otto Koivula, Arthur Kaliyev, Jack McBain, Jesse Ylonen, Jesse Ylonen, Mark Kastelic, Zack MacEwen, ,
Lignes de défense personnalisées en prolongation
Wyatte Wylie, Connor Mackey, Linus Hogberg, Jordan Harris, Grant Hutton


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 - 2022-09-1518Eagles-Heat-
9 - 2022-09-1737Heat-Condors-
12 - 2022-09-2055Silver Knights-Heat-
14 - 2022-09-2268Americans-Heat-
16 - 2022-09-2486Wolves-Heat-
19 - 2022-09-27104Penguins-Heat-
23 - 2022-10-01138Condors-Heat-
26 - 2022-10-04155Firebirds-Heat-
28 - 2022-10-06169Admirals-Heat-
30 - 2022-10-08187Comets-Heat-
32 - 2022-10-10193Heat-Islanders-
33 - 2022-10-11197Heat-Comets-
35 - 2022-10-13211Heat-Bruins-
37 - 2022-10-15236Moose-Heat-
39 - 2022-10-17245Reign-Heat-
42 - 2022-10-20260Heat-Crunch-
44 - 2022-10-22275Heat-Checkers-
46 - 2022-10-24292Heat-Phantoms-
48 - 2022-10-26306Heat-Penguins-
50 - 2022-10-28322Heat-Bears-
51 - 2022-10-29333Heat-Wolves-
54 - 2022-11-01358Checkers-Heat-
56 - 2022-11-03372Rocket-Heat-
58 - 2022-11-05390Bears-Heat-
60 - 2022-11-07401Roadrunners-Heat-
62 - 2022-11-09414Wild-Heat-
64 - 2022-11-11424Heat-Monsters-
65 - 2022-11-12438Heat-Marlies-
67 - 2022-11-14448Heat-Rocket-
69 - 2022-11-16468Canucks-Heat-
71 - 2022-11-18482Thunderbirds-Heat-
73 - 2022-11-20501Heat-Barracuda-
75 - 2022-11-22517Heat-Barracuda-
77 - 2022-11-24531Heat-Reign-
78 - 2022-11-25544Heat-Gulls-
82 - 2022-11-29555Condors-Heat-
83 - 2022-11-30561Heat-Firebirds-
86 - 2022-12-03587Canucks-Heat-
89 - 2022-12-06603Heat-Moose-
92 - 2022-12-09626Islanders-Heat-
94 - 2022-12-11641Heat-IceHogs-
96 - 2022-12-13655Heat-Thunderbirds-
98 - 2022-12-15670Heat-Thunderbirds-
100 - 2022-12-17677Heat-Stars-
102 - 2022-12-19703Heat-Admirals-
104 - 2022-12-21715Eagles-Heat-
107 - 2022-12-24733Crunch-Heat-
109 - 2022-12-26754Monsters-Heat-
112 - 2022-12-29777IceHogs-Heat-
113 - 2022-12-30786Heat-Firebirds-
123 - 2023-01-09809Heat-Wolf Pack-
126 - 2023-01-12825Heat-Griffins-
128 - 2023-01-14833Heat-Americans-
130 - 2023-01-16850Heat-Senators-
133 - 2023-01-19875Griffins-Heat-
135 - 2023-01-21891Wolf Pack-Heat-
137 - 2023-01-23905Phantoms-Heat-
139 - 2023-01-25919Heat-Roadrunners-
140 - 2023-01-26928Heat-Silver Knights-
142 - 2023-01-28945Heat-Eagles-
145 - 2023-01-31965Bruins-Heat-
147 - 2023-02-02979Marlies-Heat-
149 - 2023-02-04999Wild-Heat-
151 - 2023-02-061008Heat-Stars-
152 - 2023-02-071018Heat-Wild-
155 - 2023-02-101037Gulls-Heat-
157 - 2023-02-121058Senators-Heat-
159 - 2023-02-141072Heat-Roadrunners-
161 - 2023-02-161087Heat-Silver Knights-
163 - 2023-02-181105Stars-Heat-
165 - 2023-02-201119Heat-Reign-
166 - 2023-02-211131Heat-Gulls-
168 - 2023-02-231144Silver Knights-Heat-
170 - 2023-02-251154Barracuda-Heat-
173 - 2023-02-281183Reign-Heat-
176 - 2023-03-031202Heat-Canucks-
178 - 2023-03-051225Gulls-Heat-
180 - 2023-03-071236IceHogs-Heat-
181 - 2023-03-081240Heat-Moose-
184 - 2023-03-111270Heat-Canucks-
186 - 2023-03-131282Admirals-Heat-
188 - 2023-03-151297Barracuda-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
21,352$ 2,017,750$ 2,017,750$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
10,676$ 21,352$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 187 10,676$ 1,996,412$




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
Saison régulière
11822035091422134174-40411118046117184-1341917058116390-2778134222356581552561314092865185704621807241501473823036.59%702662.86%1512109146.93%667136049.04%44180155.06%1387524162785719541010
11822035091422134174-40411118046117184-1341917058116390-2778134222356581552561314092865185704621807241501473823036.59%702662.86%1512109146.93%667136049.04%44180155.06%1387524162785719541010
Total Saison régulière16440700182844268348-80822236081222142168-268218340101622126180-5415626844471210163010411226281857210361140924360144830029461646036.59%1405262.86%21024218246.93%1334272049.04%882160255.06%277510483255171539092020