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Heat
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Martin Bétit | Morale : 50 | Moyenne d’équipe : 57
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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 Pro20
Équipe Mineure20
Limite contact 40 / 50
Espoirs17


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
1Charles HudonXXX100.00584665706169696644636463675950050630281750,000$
2Riley TufteX100.00696157637365646342595965625350050610241950,000$
3Mikhail MaltsevXX100.00654669676564626252585762625350050600241750,000$
4Ryan MacInnisXX100.00737779637756575674525365534646050590263850,000$
5Grigori Denisenko (R)XX100.00564865666363626342605551615150050580222925,000$
6Alexander Campbell (R)X100.00373097695556714547384338475454050500213700,000$
7John Farinacci (R)X100.00454397646950634052333942425454050480213700,000$
8Alexandr Darin (R)X100.00413797646246623446293137355858050450223650,000$
9Aapeli Rasanen (R)X100.00293736366727272936282836323230050350241620,000$
10Wyatt Kaiser (R)X100.00574071717280606540626065665150050640203916,667$
11Ville HeinolaX100.00644463716161606440645469635050050630211925,002$
12Jeremie Poirier (R)X100.00634863696460616640645967645050050630203823,333$
13Jacob MoverareX100.00614865686563636240595466615250050620242900,000$
14Nicolas BeaudinX100.00585063715763626140625267615150050610221894,168$
15Mattias Norlinder (R)X100.00594069666262626240615461615150050600223700,000$
16Ryan Johnson (R)X100.00413897636352733425342740295454050490213825,000$
Rayé
1Adam GaudetteXXHO6344697264707168526564636859530506502600$
MOYENNE D’ÉQUIPE100.0055467265655962554452505655525005057
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
1Dylan Garand (R)100.0069616259656669666766585050050600202650,000$
2Michael DiPietro (R)100.0068575766656565656664525250050590233800,000$
Rayé
1Gage Alexander (R)100.0062575769626262596260545050050570203810,000$
MOYENNE D’ÉQUIPE100.006658596564646563656355515005059
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
Aapeli RasanenHeat (Cal)C241998-06-01Yes196 Lbs6 ft0NoNoYesNo1Pro & Farm620,000$398,571$0$0$NoLien
Adam GaudetteHeat (Cal)C/RW261996-10-03No170 Lbs6 ft1NoNoYesNo0Pro & Farm0$0$NoLien
Alexander CampbellHeat (Cal)LW212001-02-27Yes150 Lbs5 ft10NoNoNoNo3Pro & Farm700,000$450,000$0$0$No700,000$700,000$Lien
Alexandr DarinHeat (Cal)RW222000-08-16Yes170 Lbs5 ft11NoNoNoNo3Pro & Farm650,000$417,857$0$0$No650,000$650,000$Lien
Charles Hudon (contrat à 1 volet)Heat (Cal)C/LW/RW281994-06-23No190 Lbs5 ft10NoNoYesNo1Pro & Farm750,000$482,143$0$0$NoLien
Dylan GarandHeat (Cal)G202002-06-07Yes172 Lbs6 ft0NoNoNoNo2Pro & Farm650,000$417,857$0$0$No650,000$Lien
Gage AlexanderHeat (Cal)G202002-07-02Yes205 Lbs6 ft6NoNoNoNo3Pro & Farm810,000$520,714$0$0$No810,000$810,000$
Grigori DenisenkoHeat (Cal)LW/RW222000-06-24Yes185 Lbs5 ft11NoNoNoNo2Pro & Farm925,000$594,643$0$0$No925,000$Lien
Jacob MoverareHeat (Cal)D241998-08-31No198 Lbs6 ft3NoNoYesNo2Pro & Farm900,000$578,571$0$0$No900,000$Lien
Jeremie PoirierHeat (Cal)D202002-06-02Yes196 Lbs6 ft1NoNoNoNo3Pro & Farm823,333$529,286$0$0$No823,333$823,333$
John FarinacciHeat (Cal)C212001-02-14Yes190 Lbs6 ft0NoNoNoNo3Pro & Farm700,000$450,000$0$0$No700,000$700,000$Lien
Mattias NorlinderHeat (Cal)D222000-04-12Yes185 Lbs6 ft0NoNoNoNo3Pro & Farm700,000$450,000$0$0$No700,000$700,000$Lien
Michael DiPietroHeat (Cal)G231999-06-09Yes201 Lbs6 ft0NoNoNoNo3Pro & Farm800,000$514,286$0$0$No800,000$800,000$Lien
Mikhail MaltsevHeat (Cal)C/LW241998-03-12No198 Lbs6 ft3NoNoYesNo1Pro & Farm750,000$482,143$0$0$NoLien
Nicolas BeaudinHeat (Cal)D221999-10-07No168 Lbs5 ft11NoNoNoNo1Pro & Farm894,168$574,822$0$0$NoLien
Riley TufteHeat (Cal)LW241998-04-10No220 Lbs6 ft6NoNoYesNo1Pro & Farm950,000$610,714$0$0$NoLien
Ryan JohnsonHeat (Cal)D212001-07-24Yes170 Lbs6 ft0NoNoNoNo3Pro & Farm825,000$530,357$0$0$No825,000$825,000$Lien
Ryan MacInnis (contrat à 1 volet)Heat (Cal)C/LW261996-02-14No201 Lbs6 ft4NoNoYesNo3Pro & Farm850,000$546,429$0$0$No850,000$850,000$Lien
Ville HeinolaHeat (Cal)D212001-03-02No179 Lbs5 ft11NoNoNoNo1Pro & Farm925,002$594,644$0$0$NoLien
Wyatt KaiserHeat (Cal)D202002-07-31Yes173 Lbs6 ft0NoNoNoNo3Pro & Farm916,667$589,286$0$0$No916,667$916,667$
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2022.55186 Lbs6 ft12.10756,959$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Riley TufteCharles HudonGrigori Denisenko40122
2Ryan MacInnisMikhail MaltsevAlexandr Darin30122
3Alexander CampbellJohn FarinacciAapeli Rasanen20122
4Charles HudonAapeli RasanenRiley Tufte10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wyatt KaiserJeremie Poirier40122
2Ville HeinolaJacob Moverare30122
3Nicolas BeaudinMattias Norlinder20122
4Ryan JohnsonWyatt Kaiser10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Riley TufteCharles HudonGrigori Denisenko60122
2Ryan MacInnisMikhail MaltsevAlexandr Darin40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wyatt KaiserJeremie Poirier60122
2Ville HeinolaJacob Moverare40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Charles HudonRiley Tufte60122
2Mikhail MaltsevRyan MacInnis40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wyatt KaiserJeremie Poirier60122
2Ville HeinolaJacob Moverare40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Charles Hudon60122Wyatt KaiserJeremie Poirier60122
2Riley Tufte40122Ville HeinolaJacob Moverare40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Charles HudonRiley Tufte60122
2Mikhail MaltsevRyan MacInnis40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Wyatt KaiserJeremie Poirier60122
2Ville HeinolaJacob Moverare40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Riley TufteCharles HudonGrigori DenisenkoWyatt KaiserJeremie Poirier
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Riley TufteCharles HudonGrigori DenisenkoWyatt KaiserJeremie Poirier
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Alexander Campbell, John Farinacci, Grigori DenisenkoAlexander Campbell, John FarinacciGrigori Denisenko
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Nicolas Beaudin, Mattias Norlinder, Ryan JohnsonNicolas BeaudinMattias Norlinder, Ryan Johnson
Tirs de pénalité
Charles Hudon, Riley Tufte, Mikhail Maltsev, Ryan MacInnis, Grigori Denisenko
Gardien
#1 : Dylan Garand, #2 : Michael DiPietro


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



Capacité de l’aréna - Tendance du prix des billets - %
Niveau 1Niveau 2
Capacité20001000
Prix des billets3515
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$ 1,353,917$ 1,353,917$ 0$
Plafond salarial par jourPlafond salarial à ce jourJoueurs Inclus dans le plafond salarialJoueurs exclut du plafond Salarial
0$ 0$ 0 0

Estimation
Revenus de la saison estimésJours restants de la saisonDépenses par jourDépenses de la saison estimées
0$ 9 0$ 0$




Heat 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

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 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

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