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Heat
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
DG: Ray Whiddon | Morale : 50 | Moyenne d’équipe : 59

Meneurs d'équipe

Statistiques d’équipe
Informations de l'équipe

Directeur généralRay Whiddon
DivisionDivision 4
ConférenceConference 2
Capitaine
Assistant #1
Assistant #2


Informations de l’aréna

Capacité3,000
Assistance
Billets de saison1,500


Informations de la formation

Équipe Pro23
Équipe Mineure18
Limite contact 41 / 100
Espoirs101


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 PTCK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPÂgeContratSalaire
1Mavrik BourqueX100.0065429881696390656164686825565766806602400$
2Mike HardmanX100.0081768874767376665062686559505062776502700$
3Tyler MotteXXX100.0078449884685972594760597625737662806503100$
4Mark KastelicXXX100.0099995585885778607960586625666662806502711,402,000$
5Ryan Suzuki (R)X100.0078728871758186668170596554474762776502511,243,000$
6Oskar BackX100.0063429774775990665866617525555564286502621,485,000$
7Dylan Roobroeck (R)X100.0082818268838288597451656459474761766302221,390,000$
8Benoit-Olivier GroulxX100.0074737666735249638061616159474760675902611,340,000$
9Bokondji ImamaX100.0094994979834360572553596025494956715903000$
10Dylan Peterson (R)X100.0070776067796669537045595858474657645702421,353,000$
11Curtis DouglasX100.0079945265945353536948546253464657745702611,066,000$
12Aku RatyX100.0075718568745454535056486045474753765602521,108,000$
13Luca Pinelli (R)X100.0060596581605352557165435542454554755602121,284,000$
14Shakir Mukhamadullin (R)X100.0070439273797568692562527925504961536702400$
15Kyle BurroughsX100.0078956767724755602548486625656554666003100$
16Shai Buium (R)X100.0082799467815455502546406438474751665902321,287,000$
17William VilleneuveX100.0072697969715251562555435939474751755702400$
18Aaron NessX100.0070668262656469462535405539474648635503600$
19Cole ClaytonX100.0075738364735254472539395837464649335502621,336,000$
Rayé
1Anthony Romano (R)XXX100.0075679763674545476145455944474751585202521,320,000$
MOYENNE D’ÉQUIPE100.00767179717559665851555364405151576760
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 PTSK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPÂgeContratSalaire
1Felix Sandstrom100.004944558149495456525030454449795302911,585,000$
2Joe Goalie (R)100.00505050505050505050505011504844N02500$
Rayé
1Erik Portillo100.004848609047505759545030474747725602600$
MOYENNE D’ÉQUIPE100.0049475574495054555250373131496651
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 Pays Recrue Poids Taille Non-échange Disponible pour échange Acquis Par Date de la Dernière Transaction Ballotage forcé Waiver Possible Contrat Date du Signature du Contrat Forcer UFA Rappel d'urgence Type Salaire actuel Salaire restantPlafond salarial Plafond salarial restant Exclus du plafond salarial Salaire année 2Salaire année 3Salaire année 4Salaire année 5Salaire année 6Salaire année 7Salaire année 8Salaire année 9Salaire année 10Plafond salarial année 2Plafond salarial année 3Plafond salarial année 4Plafond salarial année 5Plafond salarial année 6Plafond salarial année 7Plafond salarial année 8Plafond salarial année 9Plafond salarial année 10Non-échange année 2Non-échange année 3Non-échange année 4Non-échange année 5Non-échange année 6Non-échange année 7Non-échange année 8Non-échange année 9Non-échange année 10Lien
Aaron NessHeat (CAL)D361990-05-18USANo188 Lbs5 ft10NoNoAssign ManuallyNoNo02025-12-08FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Aku RatyHeat (CAL)RW252001-07-05FINNo190 Lbs6 ft1NoNoN/ANoNo22025-10-17FalseFalsePro & Farm1,108,000$1,108,000$0$0$No1,108,000$--------1,108,000$--------No--------Lien
Anthony RomanoHeat (CAL)C/LW/RW252000-10-07ONYes185 Lbs5 ft11NoNoProspectNoNo22025-10-22FalseFalsePro & Farm1,320,000$1,320,000$0$0$No1,320,000$--------1,320,000$--------No--------Lien
Benoit-Olivier GroulxHeat (CAL)C262000-02-06FRANo198 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,340,000$1,340,000$0$0$No---------------------------Lien
Bokondji ImamaHeat (CAL)LW301996-08-03CANNo221 Lbs6 ft1NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Cole ClaytonHeat (CAL)D262000-02-29ABNo198 Lbs6 ft2NoNoTrade2025-01-31NoNo22025-10-22FalseFalsePro & Farm1,336,000$1,336,000$0$0$No1,336,000$--------1,336,000$--------No--------Lien
Curtis DouglasHeat (CAL)C262000-03-06ONTNo242 Lbs6 ft9NoNoN/ANoNo1FalseFalsePro & Farm1,066,000$1,066,000$0$0$No---------------------------Lien
Dylan PetersonHeat (CAL)C242002-01-08USAYes203 Lbs6 ft4NoNoProspectNoNo22025-10-22FalseFalsePro & Farm1,353,000$1,353,000$0$0$No1,353,000$--------1,353,000$--------No--------Lien
Dylan RoobroeckHeat (CAL)C222004-07-27CANYes205 Lbs6 ft7NoNoDraftNoNo22025-10-22FalseFalsePro & Farm1,390,000$1,390,000$0$0$No1,390,000$--------1,390,000$--------No--------Lien
Erik PortilloHeat (CAL)G262000-09-03SWENo218 Lbs6 ft6NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Felix SandstromHeat (CAL)G291997-01-12SWENo214 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm1,585,000$1,585,000$0$0$No---------------------------Lien
Joe GoalieHeat (CAL)G252001-06-23NAYes100 Lbs4 ft0YesNoProspectNoNo02026-06-23FalseFalsePro & Farm0$0$No---------------------------
Kyle BurroughsHeat (CAL)D311995-07-12CANNo193 Lbs6 ft0NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
Luca PinelliHeat (CAL)C212005-04-05CANYes168 Lbs5 ft9NoNoDraftNoNo22025-10-22FalseFalsePro & Farm1,284,000$1,284,000$0$0$No1,284,000$--------1,284,000$--------No--------Lien
Mark KastelicHeat (CAL)C/LW/RW271999-03-11USANo227 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm1,402,000$1,402,000$0$0$No---------------------------Lien
Mavrik BourqueHeat (CAL)C242002-01-08CANNo181 Lbs5 ft11NoNoTrade2025-12-08NoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Mike HardmanHeat (CAL)LW271999-02-05USANo205 Lbs6 ft2NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Oskar BackHeat (CAL)C262000-03-12SWENo202 Lbs6 ft4NoNoN/ANoNo22025-10-17FalseFalsePro & Farm1,485,000$1,485,000$0$0$No1,485,000$--------1,485,000$--------No--------Lien
Ryan SuzukiHeat (CAL)C252001-05-28CANYes196 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,243,000$1,243,000$0$0$No---------------------------Lien
Shai BuiumHeat (CAL)D232003-03-26USAYes210 Lbs6 ft3NoNoProspectNoNo22025-10-22FalseFalsePro & Farm1,287,000$1,287,000$0$0$No1,287,000$--------1,287,000$--------No--------Lien
Shakir MukhamadullinHeat (CAL)D242002-01-10RUSYes200 Lbs6 ft4NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Tyler MotteHeat (CAL)C/LW/RW311995-03-10USANo194 Lbs5 ft10NoNoTrade2024-10-02NoNo0FalseFalsePro & Farm0$0$No---------------------------Lien / Lien NHL
William VilleneuveHeat (CAL)D242002-03-20QUENo183 Lbs6 ft2NoNoN/ANoNo0FalseFalsePro & Farm0$0$No---------------------------Lien
Nombre de joueursÂge moyenPoids moyenTaille moyenneContrat moyenSalaire moyen 1e année
2326.22197 Lbs6 ft10.91747,783$



Attaque à 5 contre 5
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mike HardmanMavrik BourqueDylan Roobroeck40122
2Bokondji ImamaRyan SuzukiAku Raty30122
3Oskar BackDylan RoobroeckRyan Suzuki20122
4Mike HardmanOskar BackRyan Suzuki10122
Défense à 5 contre 5
Ligne #DéfenseDéfense% tempsPHYDFOF
1Shakir MukhamadullinWilliam Villeneuve40122
2Kyle BurroughsShai Buium30122
3William VilleneuveAaron Ness20122
4William VilleneuveKyle Burroughs10122
Attaque en avantage numérique
Ligne #Ailier gaucheCentreAilier droit% tempsPHYDFOF
1Mike HardmanMavrik BourqueDylan Roobroeck60122
2Bokondji ImamaRyan SuzukiAku Raty40122
Défense en avantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Shakir MukhamadullinWilliam Villeneuve60122
2Kyle BurroughsAaron Ness40122
Attaque à 4 en désavantage numérique
Ligne #CentreAilier% tempsPHYDFOF
1Dylan RoobroeckMike Hardman60122
2Ryan SuzukiBokondji Imama40122
Défense à 4 en désavantage numérique
Ligne #DéfenseDéfense% tempsPHYDFOF
1Shakir MukhamadullinWilliam Villeneuve60122
2Kyle BurroughsAaron Ness40122
3 joueurs en désavantage numérique
Ligne #Ailier% tempsPHYDFOFDéfenseDéfense% tempsPHYDFOF
1Mike Hardman60122Shakir MukhamadullinAaron Ness60122
2Ryan Suzuki40122Kyle BurroughsWilliam Villeneuve40122
Attaque à 4 contre 4
Ligne #CentreAilier% tempsPHYDFOF
1Dylan RoobroeckMike Hardman60122
2Ryan SuzukiBokondji Imama40122
Défense à 4 contre 4
Ligne #DéfenseDéfense% tempsPHYDFOF
1Aaron NessWilliam Villeneuve60122
2Kyle BurroughsShai Buium40122
Attaque dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mike HardmanMavrik BourqueRyan SuzukiShakir MukhamadullinKyle Burroughs
Défense dernière minute
Ailier gaucheCentreAilier droitDéfenseDéfense
Mike HardmanMavrik BourqueRyan SuzukiShakir MukhamadullinKyle Burroughs
Attaquants supplémentaires
Normal Avantage numériqueDésavantage numérique
Dylan Roobroeck, Ryan Suzuki, Bokondji ImamaDylan Roobroeck, Mike HardmanDylan Roobroeck
Défenseurs supplémentaires
Normal Avantage numériqueDésavantage numérique
Kyle Burroughs, William Villeneuve, Aaron NessKyle BurroughsKyle Burroughs, William Villeneuve
Tirs de pénalité
Bokondji Imama, Mavrik Bourque, Ryan Suzuki, Mike Hardman, Dylan Roobroeck
Gardien
#1 : Felix Sandstrom, #2 : Joe Goalie


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 billets5030
Assistance0%0%
Assistance PCT0%0%

Revenu
Matchs à domicile restantsAssistance moyenne - %Revenu moyen par matchRevenu annuel à ce jourCapacitéPopularité de l’équipe
43 0 - 0%0$0$3000100

Dépenses
Dépenses annuelles à ce jourSalaire total des joueursPlafond Salariale total des joueursSalaire des entraineurs
0$ 1,719,900$ 1,719,900$ 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$ 0 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